274 search results - page 3 / 55 » Network reinforcement |
ICANN
2005
Springer
13 years 11 months ago
2005
Springer
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
EWRL
2008
13 years 7 months ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
IPOM
2007
Springer
13 years 12 months ago
2007
Springer
We present a framework of cognitive network management by means of an autonomic reconfiguration scheme. We propose a network architecture that enables intelligent services to meet ...
ECAI
2008
Springer
13 years 7 months ago
2008
Springer
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...