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211
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TNN
2010
15 years 1 months ago
2010
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
135
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory sh...
160
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We study the label complexity of pool-based active learning in the agnostic PAC model. Specifically, we derive general bounds on the number of label requests made by the A2 algori...
151
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We analyze skewing, an approach that has been empirically observed to enable greedy decision tree learners to learn "difficult" Boolean functions, such as parity, in the...
132
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Abstraction in Reinforcement Learning via Clustering Shie Mannor shie@mit.edu Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA ...