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

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