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Online Learning Analytics (Data Analytics Applications)
by Jay Liebowitz"In our increasingly digitally enabled education world, analytics used ethically, strategically, and with care holds the potential to help more and more diverse students be more successful on higher education journeys than ever before. Jay Liebowitz and a cadre of the fields best ‘good trouble’ makers in this space help shine a light on the possibilities, potential challenges, and the power of learning together in this work." —Mark David Milliron, Ph.D., Senior Vice President and Executive Dean of the Teachers College, Western Governors University Due to the COVID-19 pandemic and its aftereffects, we have begun to enter the "new normal" of education. Instead of online learning being an "added feature" of K–12 schools and universities worldwide, it will be incorporated as an essential feature in education. There are many questions and concerns from parents, students, teachers, professors, administrators, staff, accrediting bodies, and others regarding the quality of virtual learning and its impact on student learning outcomes. Online Learning Analytics is conceived on trying to answer the questions of those who may be skeptical about online learning. Through better understanding and applying learning analytics, we can assess how successful learning and student/faculty engagement, as examples, can contribute towards producing the educational outcomes needed to advance student learning for future generations. Learning analytics has proven to be successful in many areas, such as the impact of using learning analytics in asynchronous online discussions in higher education. To prepare for a future where online learning plays a major role, this book examines: Data insights for improving curriculum design, teaching practice, and learning Scaling up learning analytics in an evidence-informed way The role of trust in online learning. Online learning faces very real philosophical and operational challenges. This book addresses areas of concern about the future of education and learning. It also energizes the field of learning analytics by presenting research on a range of topics that is broad and recognizes the humanness and depth of educating and learning.
Online Learning in Mathematics Education (Research in Mathematics Education)
by Kevin Oliver Robin Anderson Karen HollebrandsThis book brings together research from mathematics education and instructional design to describe the development and impact of online environments on prospective and practicing teachers’ learning to teach mathematics. The move to online learning has steadily increased over the past decade. Its most rapid movement occurring in 2020 with most instruction taking place remotely. Chapters in this book highlight issues related to teacher learning in three main contexts: formal, informal, and experiential or practice-based. This volume brings together researchers from the different but related fields of instructional design and mathematics education to engage in dialogue around how we design and study the impacts of online learning in general and online mathematics education more specifically. The book is very timely with most instruction taking place online and mathematics educators addressing challenges related to supporting teachers’ formal, informal, and experiential learning online. A chapter in each section will synthesize ideas presented by instructional designers and mathematics educators as it relates to teacher learning in each context. At the end of each section, a retrospective chapter is presented to reflect on what the different perspectives offer to better understand mathematics teacher learning in online environments. This book is of interest to mathematics educators, researchers, teacher educators, professional development providers, and instructional designers.
Online Machine Learning: Eine praxisorientierte Einführung
by Thomas Bartz-Beielstein Eva BartzDieses Buch beschreibt Theorie und Anwendungen aus dem Bereich des Online Maschine Learnings (OML), wobei der Fokus auf Verfahren des überwachten Lernens liegt. Es werden Verfahren zur Drifterkennung und -behandlung beschrieben. Verfahren zur nachträglichen Aktualisierung der Modelle sowie Methoden zur Modellbewertung werden dargestellt. Besondere Anforderungen aus der amtlichen Statistik (unbalancierte Daten, Interpretierbarkeit, etc.) werden berücksichtigt. Aktuelle und mögliche Anwendungen werden aufgelistet. Ein Überblick über die verfügbaren Software-Tools wird gegeben. Anhand von zwei Studien (“simulierten Anwendungen”) werden Vor- und Nachteile des OML-Einsatz in der Praxis experimentell analysiert.
Online Panel Research
by Jon A. Krosnick Jelke Bethlehem Anja S. Göritz Reginald P. Baker Paul J. Lavrakas Mario CallegaroProvides new insights into the accuracy and value of online panels for completing surveysOver the last decade, there has been a major global shift in survey and market research towards data collection, using samples selected from online panels. Yet despite their widespread use, remarkably little is known about the quality of the resulting data.This edited volume is one of the first attempts to carefully examine the quality of the survey data being generated by online samples. It describes some of the best empirically-based research on what has become a very important yet controversial method of collecting data. Online Panel Research presents 19 chapters of previously unpublished work addressing a wide range of topics, including coverage bias, nonresponse, measurement error, adjustment techniques, the relationship between nonresponse and measurement error, impact of smartphone adoption on data collection, Internet rating panels, and operational issues.The datasets used to prepare the analyses reported in the chapters are available on the accompanying website: www.wiley.com/go/online_panelCovers controversial topics such as professional respondents, speeders, and respondent validation.Addresses cutting-edge topics such as the challenge of smartphone survey completion, software to manage online panels, and Internet and mobile ratings panels.Discusses and provides examples of comparison studies between online panels and other surveys or benchmarks.Describes adjustment techniques to improve sample representativeness.Addresses coverage, nonresponse, attrition, and the relationship between nonresponse and measurement error with examples using data from the United States and Europe.Addresses practical questions such as motivations for joining an online panel and best practices for managing communications with panelists.Presents a meta-analysis of determinants of response quantity.Features contributions from 50 international authors with a wide variety of backgrounds and expertise.This book will be an invaluable resource for opinion and market researchers, academic researchers relying on web-based data collection, governmental researchers, statisticians, psychologists, sociologists, and other research practitioners.
Online Portfolio Selection: Principles and Algorithms
by Bin Li Steven Chu HoiWith the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment.The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that: Introduce OLPS and formulate OLPS as a sequential decision task Present key OLPS principles, including benchmarks, follow the winner, follow the loser, pattern matching, and meta-learning Detail four innovative OLPS algorithms based on cutting-edge machine learning techniques Provide a toolbox for evaluating the OLPS algorithms and present empirical studies comparing the proposed algorithms with the state of the art Investigate possible future directions Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment.Readers are encouraged to visit the authors’ website for updates: http://olps.stevenhoi.org.
Onramp To Algebra 2013 Positive And Negative Numbers (Student Edition Grades 7/9)
by Prentice HallonRamp to Algebra is an intervention program designed exclusively to ensure that at-risk students are adequately prepared for Algebra 1. The program is ideally implemented the year prior, to build and solidify foundational skills and conceptual understanding necessary to be successful in Algebra 1. onRamp to Algebra is a complete instructional system that utilizes technology to deliver online homework support and in-class presentation screens for whole class participation. Although the program can be implemented solely with the printed Student and Teacher editions, it is optimized when coupled with in-class technology such as whiteboards/projectors; as well as when students access its online learning aids, which provide scaffolded, point-of-use homework support. As such, the program is designed to grow with your schools' Technology Plan. onRamp to Algebra is designed to be delivered in a single block class period. Each of the 112 lessons utilizes a classroom Workshop Model, designed to ensure that your formerly struggling students are constantly active, and engaged, participants throughout the entire 45-minute class. Built-in "Coach" supports (throughout the Teachers Edition), along with a Program Overview & Implementation Guide, and onsite and/or online Professional Development, ensure that all teachers are successful in the implementation of this program.
Ontologies and Concepts in Mind and Machine: 25th International Conference on Conceptual Structures, ICCS 2020, Bolzano, Italy, September 18–20, 2020, Proceedings (Lecture Notes in Computer Science #12277)
by Mehwish Alam Tanya Braun Bruno YunThis book constitutes the proceedings of the 25th International Conference on Conceptual Structures, ICCS 2020, held in Bolzano, Italy, in September 2020.* The 10 full papers, 5 short papers and 1 poster paper presented were carefully reviewed and selected from 24 submissions. The proceedings also include two keynotes and two tutorials. The papers focus on the representation of and reasoning with conceptual structures in a variety of contexts. The topics of this year's conference range from formal concept analysis to decision making, from machine learning to natural language processing. *The conference was held virtually due to the COVID-19 pandemic.
Ontology Engineering in a Networked World
by Aldo Gangemi Asunción Gómez-Pérez Enrico Motta Mari Carmen Suárez-FigueroaThe Semantic Web is characterized by the existence of a very large number of distributed semantic resources, which together define a network of ontologies. These ontologies in turn are interlinked through a variety of different meta-relationships such as versioning, inclusion, and many more. This scenario is radically different from the relatively narrow contexts in which ontologies have been traditionally developed and applied, and thus calls for new methods and tools to effectively support the development of novel network-oriented semantic applications. This book by Suárez-Figueroa et al. provides the necessary methodological and technological support for the development and use of ontology networks, which ontology developers need in this distributed environment. After an introduction, in its second part the authors describe the NeOn Methodology framework. The book's third part details the key activities relevant to the ontology engineering life cycle. For each activity, a general introduction, methodological guidelines, and practical examples are provided. The fourth part then presents a detailed overview of the NeOn Toolkit and its plug-ins. Lastly, case studies from the pharmaceutical and the fishery domain round out the work. The book primarily addresses two main audiences: students (and their lecturers) who need a textbook for advanced undergraduate or graduate courses on ontology engineering, and practitioners who need to develop ontologies in particular or Semantic Web-based applications in general. Its educational value is maximized by its structured approach to explaining guidelines and combining them with case studies and numerous examples. The description of the open source NeOn Toolkit provides an additional asset, as it allows readers to easily evaluate and apply the ideas presented.
Ontology-Based Development of Industry 4.0 and 5.0 Solutions for Smart Manufacturing and Production: Knowledge Graph and Semantic Based Modeling and Optimization of Complex Systems (Springer Series in Advanced Manufacturing)
by János Abonyi László Nagy Tamás RuppertThis book presents a comprehensive framework for developing Industry 4.0 and 5.0 solutions through the use of ontology modeling and graph-based optimization techniques. With effective information management being critical to successful manufacturing processes, this book emphasizes the importance of adequate modeling and systematic analysis of interacting elements in the era of smart manufacturing. The book provides an extensive overview of semantic technologies and their potential to integrate with existing industrial standards, planning, and execution systems to provide efficient data processing and analysis. It also investigates the design of Industry 5.0 solutions and the need for problem-specific descriptions of production processes, operator skills and states, and sensor monitoring in intelligent spaces. The book proposes that ontology-based data can efficiently represent enterprise and manufacturing datasets. The book is divided into two parts: modeling and optimization. The semantic modeling part provides an overview of ontologies and knowledge graphs that can be used to create Industry 4.0 and 5.0 applications, with two detailed applications presented on a reproducible industrial case study. The optimization part of the book focuses on network science-based process optimization and presents various detailed applications, such as graph-based analytics, assembly line balancing, and community detection. The book is based on six key points: the need for horizontal and vertical integration in modern industry; the potential benefits of integrating semantic technologies into ERP and MES systems; the importance of optimization methods in Industry 4.0 and 5.0 concepts; the need to process large amounts of data while ensuring interoperability and re-usability factors; the potential for digital twin models to model smart factories, including big data access; and the need to integrate human factors in CPSs and provide adequate methods to facilitate collaboration and support shop floor workers.
Open Conformal Systems and Perturbations of Transfer Operators (Lecture Notes in Mathematics #2206)
by Mark Pollicott Mariusz UrbańskiThe focus of this book is on open conformal dynamical systems corresponding to the escape of a point through an open Euclidean ball. The ultimate goal is to understand the asymptotic behavior of the escape rate as the radius of the ball tends to zero. In the case of hyperbolic conformal systems this has been addressed by various authors. The conformal maps considered in this book are far more general, and the analysis correspondingly more involved. The asymptotic existence of escape rates is proved and they are calculated in the context of (finite or infinite) countable alphabets, uniformly contracting conformal graph-directed Markov systems, and in particular, conformal countable alphabet iterated function systems. These results have direct applications to interval maps, rational functions and meromorphic maps. Towards this goal the authors develop, on a purely symbolic level, a theory of singular perturbations of Perron--Frobenius (transfer) operators associated with countable alphabet subshifts of finite type and Hölder continuous summable potentials. This leads to a fairly full account of the structure of the corresponding open dynamical systems and their associated surviving sets.
Open Data Governance and Its Actors: Theory and Practice (Studies in National Governance and Emerging Technologies)
by Maxat KassenThis book combines theoretical and practical knowledge about key actors and driving forces that help to initiate and advance open data governance. Using Finland and Sweden as case studies, it sheds light on the roles of key actors in the open data movement, enabling researchers to understand the key operational elements of data-driven governance. Examining the most salient manifestations of related networking activities, the motivations of stakeholders, and the political and socioeconomic readiness of the public, private and civic sectors to advance such policies, it will appeal to e-government experts, policymakers and political scientists, as well as academics and students of public administration, public policy, and open data governance.
Open Data in Southeast Asia
by Manuel StagarsThis book exploresthe power of greater openness, accountability, and transparency in digitalinformation and government data for the nations of Southeast Asia. The author demonstratesthat, although the term "open data" seems to be self-explanatory, it involvesan evolving ecosystem of complex domains. Through empirical case studies, thisbook explains how governments in the ASEAN may harvest the benefits of opendata to maximize their productivity, efficiency and innovation. The book alsoinvestigates how increasing digital divides in the population, boundaries tocivil society, and shortfalls in civil and political rights threaten to arrestopen data in early development, which may hamper post-2015 development agendasin the region. With robust open data policies and clear roadmaps, member statesof the ASEAN can harvest the promising opportunities of open data in theirparticular developmental, institutional and legal settings. Governments, policymakers, entrepreneurs and academics will gain a clearer understanding of the factorsthat enable open data from this timely research.
Open GIS
by Qunying Huang Jizhe Xia Zhipeng Gui Wei TuThis book provides a comprehensive introduction about recent state-of-the-art advancements in Open GIS, including Open GIS data, services, software, and libraries for GIS programming. Though GIS software has entered the era of Open GIS alongside the emerging trend of open source software, there is no suitable book for GIS educators to teach our next generation, and for professionals to gain an in-depth understanding about Open GIS technologies and toolkits. This book intends to provide this missing guidance for students, educators and professionals in geospatial fields to quickly find, learn and use a wide arrange of open-sourced data, tools, and programming for geospatial applications. The book begins with an introduction to open data, and discusses data management solutions, including both open-sourced relational databases and NoSQL database systems for big data. Next, the book covers different GIS and remote sensing software, tools and programminglibraries to perform spatial statistics and analyses. Readers will learn about the tools and libraries for desktop and web GIS development for both two dimensional (2D) and three dimensional (3D) mapping and visualization. Finally, the book provides two example of Open GIS applications including public health and natural hazards. At the end of each chapter, practical hands-on exercises are included for readers to fully master the most popular Open GIS technologies introduced in the chapter.
Open Middle Math: Problems That Unlock Student Thinking, 6-12
by Robert KaplinskyThis book is an amazing resource for teachers who are struggling to help students develop both procedural fluency and conceptual understanding.. --Dr. Margaret (Peg) Smith, co-author of5 Practices for Orchestrating Productive Mathematical Discussions Robert Kaplinsky, the co-creator of Open Middle math problems, brings hisnew class of tasks designed to stimulate deeper thinking and lively discussion among middle and high school students in Open Middle Math: Problems That Unlock Student Thinking, Grades 6-12. The problems are characterized by a closed beginning,- meaning all students start with the same initial problem, and a closed end,- meaning there is only one correct or optimal answer. The key is that the middle is open- in the sense that there are multiple ways to approach and ultimately solve the problem. These tasks have proven enormously popular with teachers looking to assess and deepen student understanding, build student stamina, and energize their classrooms. Professional Learning Resource for Teachers: Open Middle Math is an indispensable resource for educators interested in teaching student-centered mathematics in middle and high schools consistent with the national and state standards. Sample Problems at Each Grade: The book demonstrates the Open Middle concept with sample problems ranging from dividing fractions at 6th grade to algebra, trigonometry, and calculus. Teaching Tips for Student-Centered Math Classrooms: Kaplinsky shares guidance on choosing problems, designing your own math problems, and teaching for multiple purposes, including formative assessment, identifying misconceptions, procedural fluency, and conceptual understanding. Adaptable and Accessible Math: The tasks can be solved using various strategies at different levels of sophistication, which means all students can access the problems and participate in the conversation. Open Middle Math will help math teachers transform the 6th -12th grade classroom into an environment focused on problem solving, student dialogue, and critical thinking.
Open Middle Math: Problems That Unlock Student Thinking, 6-12
by Robert KaplinskyThis book is an amazing resource for teachers who are struggling to help students develop both procedural fluency and conceptual understanding.. --Dr. Margaret (Peg) Smith, co-author of5 Practices for Orchestrating Productive Mathematical Discussions Robert Kaplinsky, the co-creator of Open Middle math problems, brings hisnew class of tasks designed to stimulate deeper thinking and lively discussion among middle and high school students in Open Middle Math: Problems That Unlock Student Thinking, Grades 6-12. The problems are characterized by a closed beginning,- meaning all students start with the same initial problem, and a closed end,- meaning there is only one correct or optimal answer. The key is that the middle is open- in the sense that there are multiple ways to approach and ultimately solve the problem. These tasks have proven enormously popular with teachers looking to assess and deepen student understanding, build student stamina, and energize their classrooms. Professional Learning Resource for Teachers: Open Middle Math is an indispensable resource for educators interested in teaching student-centered mathematics in middle and high schools consistent with the national and state standards. Sample Problems at Each Grade: The book demonstrates the Open Middle concept with sample problems ranging from dividing fractions at 6th grade to algebra, trigonometry, and calculus. Teaching Tips for Student-Centered Math Classrooms: Kaplinsky shares guidance on choosing problems, designing your own math problems, and teaching for multiple purposes, including formative assessment, identifying misconceptions, procedural fluency, and conceptual understanding. Adaptable and Accessible Math: The tasks can be solved using various strategies at different levels of sophistication, which means all students can access the problems and participate in the conversation. Open Middle Math will help math teachers transform the 6th -12th grade classroom into an environment focused on problem solving, student dialogue, and critical thinking.
Open Problems in Mathematics
by Jr. John Forbes Forbes Nash Michael Th. Th. RassiasThe goal in putting together this unique compilation was to presentthe current status of the solutions to some of the most essential open problemsin pure and applied mathematics. Emphasis is also given to problems ininterdisciplinary research for which mathematics plays a key role. This volume comprises highly selected contributions by some of the mosteminent mathematicians in the international mathematical community onlongstanding problems in very active domains of mathematical research. A jointpreface by the two volume editors is followed by a personal farewell to John F. Nash, Jr. written by Michael Th. Rassias. An introduction by Mikhail Gromovhighlights some of Nash's legendary mathematical achievements. The treatment in this book includes open problems inthe following fields: algebraic geometry, number theory, analysis, discretemathematics, PDEs, differential geometry, topology, K-theory, game theory, fluidmechanics, dynamical systems and ergodic theory, cryptography, theoreticalcomputer science, and more. Extensive discussions surrounding the progress madefor each problem are designed to reach a wide community of readers, fromgraduate students and established research mathematicians to physicists,computer scientists, economists, and research scientists who are looking todevelop essential and modern new methods and theories to solve a variety ofopen problems.
Open Problems in Mathematics and Computational Science
by Çetin Kaya KoçThis book presents interesting, important unsolved problems in the mathematical and computational sciences. The contributing authors are leading researchers in their fields and they explain outstanding challenges in their domains, first by offering basic definitions, explaining the context, and summarizing related algorithms, theorems, and proofs, and then by suggesting creative solutions. The authors feel a strong motivation to excite deep research and discussion in the mathematical and computational sciences community, and the book will be of value to postgraduate students and researchers in the areas of theoretical computer science, discrete mathematics, engineering, and cryptology.
Open Problems in Optimization and Data Analysis (Springer Optimization and Its Applications #141)
by Panos M. Pardalos Athanasios MigdalasComputational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain modeling, and data analysis are examined in this book. Each contribution provides the fundamentals needed to fully comprehend the impact of individual problems. Current theoretical, algorithmic, and practical methods used to circumvent each problem are provided to stimulate a new effort towards innovative and efficient solutions. Aimed towards graduate students and researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, this book provides a broad comprehensive approach to understanding the significance of specific challenging or open problems within each discipline. The contributions contained in this book are based on lectures focused on “Challenges and Open Problems in Optimization and Data Science” presented at the Deucalion Summer Institute for Advanced Studies in Optimization, Mathematics, and Data Science in August 2016.
Open Problems in the Geometry and Analysis of Banach Spaces
by Vicente Montesinos Václav Zizler Antonio J. GuiraoThis is an collection of some easily-formulated problems that remain open in the study of the geometry and analysis of Banach spaces. Assuming the reader has a working familiarity with the basic results of Banach space theory, the authors focus on concepts of basic linear geometry, convexity, approximation, optimization, differentiability, renormings, weak compact generating, Schauder bases and biorthogonal systems, fixed points, topology and nonlinear geometry. The main purpose of this work is to help in convincing young researchers in Functional Analysis that the theory of Banach spaces is a fertile field of research, full of interesting open problems. Inside the Banach space area, the text should help expose young researchers to the depth and breadth of the work that remains, and to provide the perspective necessary to choose a direction for further study. Some of the problems are longstanding open problems, some are recent, some are more important and some are only local problems. Some would require new ideas, some may be resolved with only a subtle combination of known facts. Regardless of their origin or longevity, each of these problems documents the need for further research in this area.
Open Quantum Systems
by Ángel Rivas Susana F. HuelgaIn this volume the fundamental theory of open quantum systems is revised in the light of modern developments in the field. A unified approach to the quantum evolution of open systems is presented by merging concepts and methods traditionally employed by different communities, such as quantum optics, condensed matter, chemical physics and mathematical physics. The mathematical structure and the general properties of the dynamical maps underlying open system dynamics are explained in detail. The microscopic derivation of dynamical equations, including both Markovian and non-Markovian evolutions, is also discussed. Because of the step-by-step explanations, this work is a useful reference to novices in this field. However, experienced researches can also benefit from the presentation of recent results.
Open Quantum Systems: A Mathematical Perspective (Tutorials, Schools, and Workshops in the Mathematical Sciences)
by Dorothea Bahns Anke Pohl Ingo WittThis book presents four survey articles on various aspects of open quantum systems, specifically addressing quantum Markovian processes, Feller semigroups and nonequilibrium dynamics. The contributions are based on lectures given by distinguished experts at a summer school in Göttingen, Germany. Starting from basic notions, the authors of these lecture notes accompany the reader on a journey up to the latest research, highlighting new challenges and addressing unsolved problems at the interface between mathematics and physics. Though the book is primarily addressed to graduate students, it will also be of interest to researchers.
Open Quantum Systems: Foundations and Theory (Graduate Texts in Physics)
by Bassano VacchiniThe proposed book is a bridge between the foundations of quantum mechanics and the theory of open quantum systems. The treatment of open quantum systems is a rapidly growing subject, of interest to an ever-increasing number of scientists. The main focus is on overcoming the idealization of perfect isolation of a quantum system, so as to allow for a more realistic treatment and to provide the relevant background for the development of quantum technologies. The book is addressed to students and researchers in the field of open quantum systems and more generally quantum mechanics, a wide community of physicists, mathematicians, and chemists. It is devised both to enter the field and to prepare a series of lectures or a one-semester course on the topic.
Open-Set Text Recognition: Concepts, Framework, and Algorithms (SpringerBriefs in Computer Science)
by Chang Liu Xu-Cheng Yin Chun YangIn real-world applications, new data, patterns, and categories that were not covered by the training data can frequently emerge, necessitating the capability to detect and adapt to novel characters incrementally. Researchers refer to these challenges as the Open-Set Text Recognition (OSTR) task, which has, in recent years, emerged as one of the prominent issues in the field of text recognition. This book begins by providing an introduction to the background of the OSTR task, covering essential aspects such as open-set identification and recognition, conventional OCR methods, and their applications. Subsequently, the concept and definition of the OSTR task are presented encompassing its objectives, use cases, performance metrics, datasets, and protocols. A general framework for OSTR is then detailed, composed of four key components: The Aligned Represented Space, the Label-to-Representation Mapping, the Sample-to-Representation Mapping, and the Open-set Predictor. In addition,possible implementations of each module within the framework are discussed. Following this, two specific open-set text recognition methods, OSOCR and OpenCCD, are introduced. The book concludes by delving into applications and future directions of Open-set text recognition tasks.This book presents a comprehensive overview of the open-set text recognition task, including concepts, framework, and algorithms. It is suitable for graduated students and young researchers who are majoring in pattern recognition and computer science, especially interdisciplinary research.
OpenIntro Statistics
by David Diez Mine Çetinkaya-Rundel Christopher BarrBlack and white paperback edition, with this new edition released in May 2019. <p><p> The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. Files for the entire book are freely available at openintro.org, and anybody can purchase a paperback copy from amazon.com for about $20. <p> OpenIntro has grown through the involvement and enthusiasm of our community. Visit our website, openintro.org. We provide videos, labs for R and SAS, teaching resources like slides, and many other helpful resources.
OpenStat Reference Manual
by William MillerThis reference manual for the OpenStat software, an open-source software developed by William Miller, covers a broad spectrum of statistical methods and techniques. A unique feature is its compatibility with many other statistical programs. OpenStat users are researchers and students in the social sciences, education, or psychology, who benefit from the hands on approach to Statistics. During and upon completion of courses in Statistics or measurement, students and future researchers need a low cost computer program available to them, and OpenStat fills this void. The software is used in Statistics courses around the world with over 50,000 downloads per year. The manual covers all functions of the OpenStat software, including measurement, ANOVAS, regression analyses, simulations, product-moment and partial correlations, and logistic regression. The manual is an important learning tool that explains the Statistics behind the many analyses possible with the program and demonstrates these analyses.