2750 search results - page 108 / 550 » The complexity of learning SUBSEQ(A) |
174
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ICRA
2010
IEEE
15 years 4 months ago
2010
IEEE
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
193
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ECIR
2011
Springer
14 years 9 months ago
2011
Springer
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
211
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ALT
2011
Springer
14 years 6 months ago
2011
Springer
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
194
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
165
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FOCS
2006
IEEE
16 years 11 days ago
2006
IEEE
We address well-studied problems concerning the learnability of parities and halfspaces in the presence of classification noise. Learning of parities under the uniform distributi...