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» Uniform Characterizations of Polynomial-Query Learnabilities
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DIS
1998
Springer
13 years 9 months ago
Uniform Characterizations of Polynomial-Query Learnabilities
We consider the exact learning in the query model. We deal with all types of queries introduced by Angluin: membership, equivalence, superset, subset, disjointness and exhaustivene...
Yosuke Hayashi, Satoshi Matsumoto, Ayumi Shinohara...
JMLR
2010
104views more  JMLR 2010»
12 years 11 months ago
Learnability, Stability and Uniform Convergence
The problem of characterizing learnability is the most basic question of statistical learning theory. A fundamental and long-standing answer, at least for the case of supervised c...
Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, K...
FOCS
1993
IEEE
13 years 9 months ago
Scale-sensitive Dimensions, Uniform Convergence, and Learnability
Learnability in Valiant’s PAC learning model has been shown to be strongly related to the existence of uniform laws of large numbers. These laws define a distribution-free conver...
Noga Alon, Shai Ben-David, Nicolò Cesa-Bian...
COLT
1999
Springer
13 years 9 months ago
Uniform-Distribution Attribute Noise Learnability
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
Nader H. Bshouty, Jeffrey C. Jackson, Christino Ta...
ALT
2002
Springer
14 years 1 months ago
The Complexity of Learning Concept Classes with Polynomial General Dimension
The general dimension is a combinatorial measure that characterizes the number of queries needed to learn a concept class. We use this notion to show that any p-evaluatable concep...
Johannes Köbler, Wolfgang Lindner