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.
Description
Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews] | IEEE Journals & Magazine | IEEE Xplore
%0 Journal Article
%1 4787647
%A Chapelle, O.
%A Scholkopf, B.
%A Zien, Eds., A.
%D 2009
%J IEEE Transactions on Neural Networks
%K book learning semi-supervised
%N 3
%P 542-542
%R 10.1109/TNN.2009.2015974
%T Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) Book reviews
%U https://ieeexplore.ieee.org/abstract/document/4787647
%V 20
%X 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.
@article{4787647,
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. },
added-at = {2021-06-03T11:34:50.000+0200},
author = {Chapelle, O. and Scholkopf, B. and {Zien, Eds.}, A.},
biburl = {https://www.bibsonomy.org/bibtex/299ec03c328257ab7eeb41badfebf99d0/parismic},
description = {Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews] | IEEE Journals & Magazine | IEEE Xplore},
doi = {10.1109/TNN.2009.2015974},
interhash = {09d42949d81bfea86fb2db89bed12612},
intrahash = {99ec03c328257ab7eeb41badfebf99d0},
issn = {1941-0093},
journal = {IEEE Transactions on Neural Networks},
keywords = {book learning semi-supervised},
month = {March},
number = 3,
pages = {542-542},
timestamp = {2021-06-03T11:34:50.000+0200},
title = {Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]},
url = {https://ieeexplore.ieee.org/abstract/document/4787647},
volume = 20,
year = 2009
}