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» On the Power of Membership Queries in Agnostic Learning
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COLT
2008
Springer
13 years 7 months ago
On the Power of Membership Queries in Agnostic Learning
We study the properties of the agnostic learning framework of Haussler [Hau92] and Kearns, Schapire and Sellie [KSS94]. In particular, we address the question: is there any situat...
Vitaly Feldman
ICS
2010
Tsinghua U.
14 years 2 months ago
Distribution-Specific Agnostic Boosting
We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
Vitaly Feldman
COLT
2004
Springer
13 years 10 months ago
Replacing Limit Learners with Equally Powerful One-Shot Query Learners
Different formal learning models address different aspects of human learning. Below we compare Gold-style learning—interpreting learning as a limiting process in which the lear...
Steffen Lange, Sandra Zilles
JCSS
2007
85views more  JCSS 2007»
13 years 5 months ago
A general dimension for query learning
We introduce a combinatorial dimension that characterizes the number of queries needed to exactly (or approximately) learn concept classes in various models. Our general dimension...
José L. Balcázar, Jorge Castro, Davi...
FOCS
2009
IEEE
13 years 3 months ago
Learning and Smoothed Analysis
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua T...