Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
By: and and
Sign Up Now!
Already a Member? Log In
You must be logged into Bookshare to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vecto
- Copyright:
- 2015
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 525 Pages
- ISBN-13:
- 9781040056936
- Related ISBNs:
- 9780429076121, 9781482241396, 9781482241402, 9780367658984
- Publisher:
- CRC Press
- Date of Addition:
- 07/31/24
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Johan A.K. Suykens
- Edited by:
- Marco Signoretto
- Edited by:
- Andreas Argyriou
Reviews
Other Books
- by Johan A. K. Suykens
- by Marco Signoretto
- by Andreas Argyriou
- in Nonfiction
- in Computers and Internet
- in Technology