497 search results - page 46 / 100 » Netlearning and Learning through Networks |
88
Voted
ICANN
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
144
click to vote
MSWIM
2005
ACM
15 years 8 months ago
2005
ACM
In the last few years, the advance of multimedia applications has prompted researchers to undertake the task of routing multimedia data through Manet. This task is rather difficul...
117
Voted
CEC
2010
IEEE
15 years 3 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
112
Voted
FLAIRS
2006
15 years 4 months ago
2006
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
159
Voted
DICTA
2003
15 years 3 months ago
2003
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...