@parismic

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

, , and . IEEE Transactions on Neural Networks, 20 (3): 542-542 (March 2009)
DOI: 10.1109/TNN.2009.2015974

Abstract

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.

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Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews] | IEEE Journals & Magazine | IEEE Xplore

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