11910 search results - page 394 / 2382 » Online Learning Algorithms |
177
click to vote
SYNASC
2005
IEEE
16 years 10 days ago
2005
IEEE
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
187
click to vote
ISCI
2008
15 years 6 months ago
2008
In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. These proposed methods are based on the concept of opposit...
181
click to vote
AIRS
2010
Springer
15 years 4 months ago
2010
Springer
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
151
click to vote
CIMCA
2005
IEEE
16 years 11 days ago
2005
IEEE
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
177
click to vote
IROS
2007
IEEE
16 years 1 months ago
2007
IEEE
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...