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» Complexity Dimensions and Learnability
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ALT
2006
Springer
14 years 2 months ago
How Many Query Superpositions Are Needed to Learn?
Abstract. This paper introduces a framework for quantum exact learning via queries, the so-called quantum protocol. It is shown that usual protocols in the classical learning setti...
Jorge Castro
ILP
2003
Springer
13 years 11 months ago
Complexity Parameters for First-Order Classes
We study several complexity parameters for first order formulas and their suitability for first order learning models. We show that the standard notion of size is not captured by...
Marta Arias, Roni Khardon
FOCS
1993
IEEE
13 years 10 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
1993
Springer
13 years 9 months ago
Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers
The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis of learning problems in the PAC framework. For polynomial learnability, we seek upper bou...
Paul W. Goldberg, Mark Jerrum