518 search results - page 10 / 104 » Learning associative Markov networks |
PKDD
2004
Springer
14 years 1 months ago
2004
Springer
AAAI
2006
13 years 9 months ago
2006
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
TSMC
2008
13 years 7 months ago
2008
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 tha...
CONNECTION
2004
13 years 7 months ago
2004
: High capacity associative neural networks can be built from networks of perceptrons, trained using simple perceptron training. Such networks perform much better than those traine...
AIA
2006
13 years 9 months ago
2006
This paper presents a study of the model of triple BAM by [11] which is an improved variation of the original BAM model by [7]. This class of model aims at integrating different s...