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Learning and Intelligent Optimization: 12th International Conference, LION 12, Kalamata, Greece, June 10–15, 2018, Revised Selected Papers (Lecture Notes in Computer Science #11353)
by Panos M. Pardalos Roberto Battiti Mauro Brunato Ilias KotsireasThis book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Learning and Intelligent Optimization, LION 12, held in Kalamata, Greece, in June 2018. The 28 full papers and 12 short papers presented have been carefully reviewed and selected from 62 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.
Learning and Intelligent Optimization: 13th International Conference, LION 13, Chania, Crete, Greece, May 27–31, 2019, Revised Selected Papers (Lecture Notes in Computer Science #11968)
by Panos Pardalos Nikolaos F. Matsatsinis Yannis MarinakisThis book constitutes the thoroughly refereed pChania, Crete, Greece, in May 2019. The 38 full papers presented have been carefully reviewed and selected from 52 submissions. The papers focus on advancedresearch developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications in optimization and machine learning.
Learning and Intelligent Optimization: 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers (Lecture Notes in Computer Science #12096)
by Panos M. Pardalos Ilias S. KotsireasThis book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020. The 37 full papers presented together with one invited paper have been carefully reviewed and selected from 75 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components. Due to the COVID-19 pandemic, LION 14 was not held as a physical meeting.
Learning and Operating Presto: Fast, Reliable SQL for Data Analytics and Lakehouses
by Angelica Lo Duca Tim Meehan Vivek Bharathan Ying SuThe Presto community has mushroomed since its origins at Facebook in 2012. But ramping up this open source distributed SQL query engine can be challenging even for the most experienced engineers. With this practical book, data engineers and architects, platform engineers, cloud engineers, and software engineers will learn how to use Presto operations at your organization to derive insights on datasets wherever they reside. Authors Angelica Lo Duca, Tim Meehan, Vivek Bharathan, and Ying Su explain what Presto is, where it came from, and how it differs from other data warehousing solutions. You'll discover why Facebook, Uber, Alibaba Cloud, Hewlett Packard Enterprise, IBM, Intel, and many more use Presto and how you can quickly deploy Presto in production. With this book, you will: Learn how to install and configure PrestoUse Presto with business intelligence toolsUnderstand how to connect Presto to a variety of data sourcesExtend Presto for real-time business insightLearn how to apply best practices and tuningGet troubleshooting tips for logs, error messages, and moreExplore Presto's architectural concepts and usage patternsUnderstand Presto security and administration
Learning and Relearning Equipment Complexity: Achieving Safety in Engineering Complex Systems (Developments in Quality and Safety)
by Sasho AndonovWith industrial systems becoming ever more mechanized and reliant on advanced technology, the complexity of equipment, especially in risky industries, is increasing on a daily basis. A thorough understanding of operations and providing safety for these complex systems has become a firm requirement for many. This book offers the knowledge required by safety professionals to provide and maintain the safety of engineering complex systems. Through a scientific and engineering approach to designing, implementing, operating, and maintaining complex systems, Learning and Relearning Equipment Complexity: Achieving Safety in Engineering Complex Systems details the need for more engineering and scientific knowledge to understand and maintain their safety. It gives clear explanations of reasons for a system’s complexity, based on control systems and non-linear dynamics. In addition, the book addresses the necessary changes in the approach and the procedures for the safety assessment of engineering complex systems. The reader will develop a thorough understanding of what complex systems are, why they are complex, and how they are utilized. This book will appeal to any safety professional tasked with complex systems. This extends to professionals in risky industries such as aviation, nuclear power, chemicals, railway and transport, and pharmaceuticals.
Learning and Teaching in Distance Education: Analyses and Interpretations from an International Perspective (Open and Flexible Learning Series)
by Otto PetersThis unique and comprehensive overview of open and distance education is written by one of the best known names in the field. It integrates historical, contemporary and future aspects of distance education. Packed with international case studies, it goes beyond looking at the methods and technology of distance education, giving Otto Peters' renowned visions on the sociological and social impacts of distance education.Now published in paperback for the first time, this new edition includes a new section on virtual universities. A major contribution to thinking on open and distance education, this new edition will reach an even wider audience.
Learning and Teaching with Interactive Whiteboards: Primary and Early Years (Achieving QTS Practical Handbooks Series)
by David Barber Linda Cooper Mr Graham MeesonInteractive Whiteboards (IWBs) are becoming increasingly common in schools and early years settings, and it is important for trainees to be equipped with the necessary skills and understanding to use them effectively to enhance learning. This book takes a thematic approach, examining all the key issues required to get the most out of this versatile learning technology. All chapters contain case studies from a range of subject areas and across the key stages, ensuring the text is rooted in the reality of the primary classroom and its curriculum.
Learning and Teaching with Technology in the Knowledge Society
by Mizuho IinumaThis book discusses learning and teaching with modern technology in the new knowledge society. It focuses specifically on new literacy and technology in classroom environments. Based on a social-constructivist approach, this book covers a wide range of new technology use examples, such as participatory media, video recording systems and 3D computer graphics. A case study on a constructivist approach to teaching and learning, especially CSCL (computer supported collaborative learning), is discussed from a practical perspective for educators. It also includes specific in-class practices with detailed accounts of curricula featuring readily accessible yet new technology available for classroom use, such as Google Sketchup 3D computer models.
Learning and Teaching with Technology: Principles and Practices (Open and Flexible Learning Series)
by Som NaiduIncreased use of electronic libraries, multimedia courseware and computer-mediated communication is giving rise to an entirely new educational experience, prompting educators to assess the potential for improved and enriched learning and teaching models. This new book explores the creative opportunities offered by ICT, and provides an authoritative, rigorous survey of the ways in which ICT is currently transforming core teaching functions, including: *subject matter representation*activating learning and the engagement of students*supporting interaction and socialization*assessing learning outcomes*providing feedback to students. Written by leading experts in the field, this text draws on the experiences of practitioners at the forefront of ICT developments, making this essential reading for all educational professionals who recognize the new opportunities afforded by this changed environment. Suitable for those who are open and flexible learning specialists, educational technologists or educational developers in either a conventional or an e-learning environment.
Learning at the Crossroads of Theory and Practice
by Wim H. Gijselaers Piet Van den Bossche Richard G. MilterCore concepts in education are changing. For example, professional performance or expertise is not uniquely the fruit of specialist knowledge acquired at professional schools, but the sum of influences exerted by a complex web of continuous learning opportunities for which an individual is well (or ill) prepared by their schools and their workplace. The key contributory factors to professional expertise are how professional schools connect to professional practice, how schools prepare graduates for continuous learning, and how the workplace endorses continuous development. Thus, the question this volume addresses--how to design learning and working environments that facilitate the integration of these three elements--is at the heart of contemporary pedagogical theory. The authors also ask a second vital question: how do we educate learners that go on to maximize their life's learning opportunities by regulating their own ongoing learning? Learning at the Crossroads of Theory and Practice argues that with the theory of learning at a crossroads, this is an unprecedented opportunity for learning about learning. The book sheds light on different elements of this challenge: integrating theory and practice in business education, generating and fully exploiting workplace learning opportunities, and enriching our classrooms by coupling theoretical knowledge with the richness of real-life experience.
Learning by Doing with National Instruments Development Boards
by Rajendra S. Gad Jivan Shrikrishna Parab Ingrid Anne Nazareth Gourish NaikLearning by Doing with National Instruments Development Boards starts with a brief introduction to LabVIEW programming, which is required to explore the National Instrument platform, an introduction that includes detailed installation and licensing setup. Further, it gives the features and configuration setup of NI SPEEDY-33, NI ELVIS and myRIO boards. The focus of the book is on worked-out case studies for students working in different areas of electronics such as basic digital design, biomedical instrumentation, sensors and measurement. Data acquisition using SPEEDY-33, NI –ELVIS and myRIO kits is also odiscussed. The book also examines the myRIO platform.
Learning d3.js Data Visualization - Second Edition
by Swizec Teller Ændrew RininslandInject new life into your data by creating compelling visualizations with d3.js About This Book * Understand how to best represent your data by developing the right kind of visualization * Harness the power of D3 by building interactive and real-time data-driven web visualizations * This book will provide a strong foundation in designing compelling web visualizations with D3.js Who This Book Is For This book is for web developers, data scientists, and anyone interested in representing data through interactive visualizations on the web with D3. Some basic JavaScript knowledge is expected, but no prior experience with data visualization or D3 is required to follow this book. What You Will Learn * Gain a solid understanding of the common D3 development idioms * Be able to input data, transform it, and output it as a visualization * Add simple effects and user interactions to a visualization * Find out how to write basic D3 code for server using Node.js * Automate testing visualizations using Mocha * Achieve fluency in ES2015, the most modern version of JavaScript In Detail D3 has emerged as one of the leading platforms to develop beautiful, interactive visualizations over the web. We begin by setting up a strong foundation, then build on this foundation book will take you through the entire world of reimagining data using interactive, animated visualizations created in D3.js. In addition to covering the various features of D3.js to build a wide range of visualizations, we also focus on the entire process of representing data through visualizations so that developers and those interested in data visualization will get the entire process right. We also include chapters that explore a wide range of visualizations through practical use cases. By the end of this book, you will have unlocked the mystery behind successful data visualizations and will be ready to use D3 to transform any data into a more engaging and sophisticated visualization. Style and approach This book has comprehensive explanation on how to leverage the power of D3.js to create powerful and creative visualizations through step by step instruction
Learning eBPF: Programming the Linux Kernel for Enhanced Observability, Networking, and Security
by Liz RiceWhat is eBPF? With this revolutionary technology, you can write custom code that dynamically changes the way the kernel behaves. It's an extraordinary platform for building a whole new generation of security, observability, and networking tools.This practical book is ideal for developers, system administrators, operators, and students who are curious about eBPF and want to know how it works. Author Liz Rice, chief open source officer with cloud native networking and security specialists Isovalent, also provides a foundation for those who want to explore writing eBPF programs themselves.With this book, you will:Learn why eBPF has become so important in the past couple of yearsWrite basic eBPF code, and manipulate eBPF programs and attach them to eventsExplore how eBPF components interact with Linux to dynamically change the operating system's behaviorLearn how tools based on eBPF can instrument applications without changes to the apps or their configurationDiscover how this technology enables new tools for observability, security, and networking
Learning eZ publish 3: Building content management solutions
by Ben PirtAlthough there is good quality reference documentation on eZ publish, there are currently no books available. Therefore, this book has been written from the ground up, in a tutorial/case study style to fill this gap. This book is for Web developers new to eZ publish, while experienced developers of eZ publish who want to consolidate their knowledge will learn new techniques from eZ publish masters. It has also been designed for those new to eZ publish while also being aimed at experienced developers who want to consolidate their knowledge and learn new tricks from eZ publish masters
Learning for Adaptive and Reactive Robot Control: A Dynamical Systems Approach (Intelligent Robotics and Autonomous Agents series)
by Aude Billard Sina Mirrazavi Nadia FigueroaMethods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises.This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: • applications, which range from arm manipulators to whole-body control of humanoid robots; • pencil-and-paper and programming exercises; • lecture videos, slides, and MATLAB code examples available on the author&’s website . • an eTextbook platform website offering protected material[EPS2] for instructors including solutions.
Learning for Decision and Control in Stochastic Networks (Synthesis Lectures on Learning, Networks, and Algorithms)
by Longbo HuangThis book introduces the Learning-Augmented Network Optimization (LANO) paradigm, which interconnects network optimization with the emerging AI theory and algorithms and has been receiving a growing attention in network research. The authors present the topic based on a general stochastic network optimization model, and review several important theoretical tools that are widely adopted in network research, including convex optimization, the drift method, and mean-field analysis. The book then covers several popular learning-based methods, i.e., learning-augmented drift, multi-armed bandit and reinforcement learning, along with applications in networks where the techniques have been successfully applied. The authors also provide a discussion on potential future directions and challenges.
Learning from Animations in Science Education: Innovating in Semiotic and Educational Research (Innovations in Science Education and Technology #25)
by Len UnsworthThis book examines educational semiotics and the representation of knowledge in school science. It discusses the strategic integration of animation in science education. It explores how learning through the creation of science animations takes place, as well as how animation can be used in assessing student’s science learning. Science education animations are ubiquitous in a variety of different online sites, including perhaps the most popularly accessed YouTube site, and are also routinely included as digital augmentations to science textbooks. They are popular with students and teachers and are a prominent feature of contemporary science teaching. The proliferation of various kinds of science animations and the ready accessibility of sophisticated resources for creating them have emphasized the importance of research into various areas: the nature of the semiotic construction of knowledge in the animation design, the development of critical interpretation of available animations, the strategic selection and use of animations to optimize student learning, student creation of science animations, and using animation in assessing student science learning. This book brings together new developments in these research agendas to further multidisciplinary perspectives on research to enhance the design and pedagogic use of animation in school science education. Chapter 1 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Learning from Data Streams in Dynamic Environments
by Moamar Sayed-MouchawehThis book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.
Learning from Data Streams in Evolving Environments: Methods And Applications (Studies in Big Data #41)
by Moamar Sayed-MouchawehThis edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage, exploit and interpret data streams in non-stationary environments. The book includes the required notions, definitions, and background to understand the problem of learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain, discussing advanced aspects and concepts and presenting open problems and future challenges in this field. Provides multiple examples to facilitate the understanding data streams in non-stationary environments;Presents several application cases to show how the methods solve different real world problems;Discusses the links between methods to help stimulate new research and application directions.
Learning from First Responders: When Your Systems Have to Work
by Dylan RichardOne of the side stories of the 2012 presidential campaign was the success of Obama's software team. The team built their software in-house, and put into practice many ideas from the DevOps world. Game day was one of the most important: an exercise in which part of the team tried as hard as possible to break their systems, while the rest of the team tried to keep things running. They simulated everything from database failure to massive network outages. And as a result, when the election came, they were certain that they could respond to any crisis.
Learning from Imbalanced Data Sets
by Francisco Herrera Salvador García Mikel Galar Alberto Fernández Ronaldo C. Prati Bartosz KrawczykThis book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way.This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches.Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided.This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions.
Learning from VLSI Design Experience
by Weng Fook LeeThis book shares with readers practical design knowledge gained from the author’s 24 years of IC design experience. The author addresses issues and challenges faced commonly by IC designers, along with solutions and workarounds. Guidelines are described for tackling issues such as clock domain crossing, using lockup latch to cross clock domains during scan shift, implementation of scan chains across power domain, optimization methods to improve timing, how standard cell libraries can aid in synthesis optimization, BKM (best known method) for RTL coding, test compression, memory BIST, usage of signed Verilog for design requiring +ve and -ve calculations, state machine, code coverage and much more. Numerous figures and examples are provided to aid the reader in understanding the issues and their workarounds.
Learning from jQuery: Building on Core Skills
by Callum MacraeIf you’re comfortable with jQuery but a bit shaky with JavaScript, this concise guide will help you expand your knowledge of the language—especially the code that jQuery covers up for you. Many jQuery devotees write as little code as possible, but with some JavaScript under your belt, you can prevent errors, reduce overhead, and make your application code more efficient.This book explores event handling, prototypes, and working with the DOM and AJAX through examples and lots of code. You’ll learn common conventions and patterns in JavaScript and—if you’ve never coded with JavaScript before—a tutorial will take you through the basics.Enhance your jQuery code by using object constructors and prototypesReduce overhead and gain more control by handling events with JavaScriptWork with the DOM much faster with JavaScript than you can with jQuerySend a few AJAX requests without having to load the entire jQuery libraryUnderstand the importance of JavaScript code standards, comments, code reuse, and anti-patternsEnlist JavaScript resources, such as a good IDE, a syntax checker, and version control
Learning iBeacon
by Craig GilchristThis book is intended for iOS developers who are curious to learn about iBeacon and want to start building applications for iOS. You will gain everything you need to know to master indoor location functionality using Bluetooth beacon technology. No knowledge of iBeacon is assumed.
Learning iOS 8 Game Development Using Swift
by Siddharth ShekarThis book is for novices as well as proficient game developers who want to learn more about game development using Swift. If you are from a 2D game development background and would like to learn the basics of 3D game development, this book is for you. Additionally, if you want to learn the basics of graphics programming and shaders, this book will be a good starting point.