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ICANN
2005
Springer
15 years 3 months ago
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria
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...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
PET
2005
Springer
15 years 3 months ago
An Analysis of Parallel Mixing with Attacker-Controlled Inputs
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...
Nikita Borisov
AAMAS
2007
Springer
15 years 3 months ago
Networks of Learning Automata and Limiting Games
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...
Peter Vrancx, Katja Verbeeck, Ann Nowé
CORR
2010
Springer
187views Education» more  CORR 2010»
14 years 9 months ago
Learning in A Changing World: Non-Bayesian Restless Multi-Armed Bandit
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 ...
Haoyang Liu, Keqin Liu, Qing Zhao

Book
410views
16 years 7 months ago
Action Arcade Adventure Set
"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...
Diana Gruber