Semi-Supervised Learning

Semi-Supervised Learning

by Olivier Chapelle
     
 

A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: state-of-the-art algorithms, a taxonomy of the field,applications, benchmark experiments, and directions for future research.See more details below

Overview

A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: state-of-the-art algorithms, a taxonomy of the field,applications, benchmark experiments, and directions for future research.

Product Details

ISBN-13:
9780262514125
Publisher:
MIT Press
Publication date:
03/31/2010
Series:
Adaptive Computation and Machine Learning series
Pages:
528
Product dimensions:
8.10(w) x 9.90(h) x 1.00(d)
Age Range:
18 Years

Meet the Author

Olivier Chapelle is Senior Research Scientist in Machine Learning at Yahoo.

Bernhard Schölkopf is Professor and Director at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. He is coauthor of Learning with Kernels (2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large-Margin Classifiers (2000), and Kernel Methods in Computational Biology (2004), all published by the MIT Press.

Alexander Zien is Senior Analyst in Bioinformatics atLIFE Biosystems GmbH,Heidelberg.

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