An Augmented PAC Model for Semi-Supervised Learning

@inbook{citeulike:3023465, author = {Balcan, Maria-Florina and Blum, Avrim}, booktitle = {Semi-Supervised Learning}, chapter = {22}, citeulike-article-id = {3023465}, comment = {Extends usual PAC analysis to an new framework involving a "compatibility function" that measures how well adapted a function is to the distribution generating the unlabelled data. Intuitively, the smaller the compatible part of a function class is w.r.t. the unlabelled distribution the easier it is to identify a good generalisation of the labelled data.}, editor = {Chapelle, Olivier and Sch\"{o}lkopf, Bernhard and Zien, Alexander}, keywords = {bounds, compatibility, pac, semisupervised, theory}, pages = {397--420}, posted-at = {2008-07-21 06:31:07}, priority = {4}, publisher = {MIT Press}, title = {An Augmented PAC Model for Semi-Supervised Learning}, url = {http://www.cs.cmu.edu/%7Eninamf/papers/book.pdf}, year = {2006} }

TY - CHAP ID - citeulike:3023465 L3 - citeulike-article-id:3023465 EP - 420 TI - An Augmented PAC Model for Semi-Supervised Learning PB - MIT Press T2 - Semi-Supervised Learning SP - 397 KW - bounds KW - compatibility KW - pac KW - semisupervised KW - theory N1 - Extends usual PAC analysis to an new framework involving a "compatibility function" that measures how well adapted a function is to the distribution generating the unlabelled data. Intuitively, the smaller the compatible part of a function class is w.r.t. the unlabelled distribution the easier it is to identify a good generalisation of the labelled data. AU - Balcan, Maria-Florina AU - Blum, Avrim A2 - Chapelle, Olivier A2 - Schölkopf, Bernhard A2 - Zien, Alexander PY - 2006/// UR - http://www.cs.cmu.edu/%7Eninamf/papers/book.pdf ER -