1261 search results - page 189 / 253 » Improved learning of Bayesian networks |
NN
2008
Springer
13 years 8 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
AAMAS
2002
Springer
13 years 8 months ago
2002
Springer
Abstract. Open systems are becoming increasingly important in a variety of distributed, networked computer applications. Their characteristics, such as agent diversity, heterogenei...
JMLR
2010
13 years 3 months ago
2010
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
SIGUCCS
2003
ACM
14 years 1 months ago
2003
ACM
Higher education institutions have been striving to improve services and keep pace with new technologies. In a Higher education environment, the users utilize the available comput...