265 search results - page 17 / 53 » Not Everything We Know We Learned |
ICANN
2005
Springer
15 years 5 months ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
121
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PET
2005
Springer
15 years 5 months ago
2005
Springer
Parallel mixing [7] is a technique for optimizing the latency of a synchronous re-encryption mix network. We analyze the anonymity of this technique when an adversary can learn the...
121
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AAMAS
2007
Springer
15 years 6 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
113
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CORR
2010
Springer
14 years 12 months ago
2010
Springer
We consider the restless multi-armed bandit (RMAB) problem with unknown dynamics. In this problem, at each time, a player chooses K out of N (N > K) arms to play. The state of ...
175
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Book
"Have you ever played a side-scrolling action arcade game on your PC and wondered what it takes to program one? How do the programmers scroll their backgrounds so fast and mak...