883 search results - page 15 / 177 » Unsupervised learning in neural computation |
NEUROSCIENCE
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
EAAI
2006
13 years 8 months ago
2006
This article is about a new approach in robotic learning systems. It provides a method to use a real-world device that operates in real-time, controlled through a simulated recurr...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Bidirectional recurrent neural network(BRNN) is a noncausal generalization of recurrent neural network(RNN). It can not learn remote information efficiently due to the problem of ...
BIOADIT
2006
Springer
14 years 10 days ago
2006
Springer
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
