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» Complexity Dimensions and Learnability
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ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 7 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
COLT
2007
Springer
14 years 1 months ago
Mitotic Classes
For the natural notion of splitting classes into two disjoint subclasses via a recursive classifier working on texts, the question is addressed how these splittings can look in th...
Sanjay Jain, Frank Stephan
CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 7 months ago
Polynomial Learning of Distribution Families
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
Mikhail Belkin, Kaushik Sinha
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
13 years 11 months ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
CORR
2010
Springer
165views Education» more  CORR 2010»
13 years 7 months ago
Online Learning: Beyond Regret
We study online learnability of a wide class of problems, extending the results of [26] to general notions of performance measure well beyond external regret. Our framework simult...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari