1895 search results - page 101 / 379 » Function learning from interpolation |
139
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EVOW
2009
Springer
15 years 11 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
131
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COLT
2001
Springer
15 years 9 months ago
2001
Springer
A class C of recursive functions is called robustly learnable in the sense I (where I is any success criterion of learning) if not only C itself but even all transformed classes Î...
166
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ICML
2000
IEEE
16 years 5 months ago
2000
IEEE
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
151
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ICRA
2009
IEEE
15 years 11 months ago
2009
IEEE
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
139
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SIGIR
2010
ACM
15 years 8 months ago
2010
ACM
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...