Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]

This book addresses some theoretical aspects of semisupervised learning (SSL). The book is organized as a collection of different contributions of authors who are experts on this topic. The objectives of this book are to present a large overview of the SSL methods and to classify these methods into...

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Bibliographic Details
Published inIEEE Transactions on Neural Networks Vol. 20; no. 3; p. 542
Main Authors Chapelle, O., Scholkopf, B., Zien, Eds, A.
Format Book Review
LanguageEnglish
Published IEEE 01.03.2009
Subjects
Benchmark testing
Bioinformatics
Hidden Markov models
Image processing
Image retrieval
Information retrieval
Machine learning
Semisupervised learning
Unsupervised learning
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Summary:This book addresses some theoretical aspects of semisupervised learning (SSL). The book is organized as a collection of different contributions of authors who are experts on this topic. The objectives of this book are to present a large overview of the SSL methods and to classify these methods into four classes that correspond to the first four main parts of the book (this would include generative models; low-density separation methods; graph-based methods; and algorithms). The last two parts are devoted to applications and perspectives of SSL. The book responds to its major objectives and could serve as a basis for an intermediate level graduate course on SSL. It may also serve as a useful self study and reference source for practicing engineers.
ISSN:1045-9227
1941-0093
DOI:10.1109/TNN.2009.2015974