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NEUROSCIENCE
2001
Springer
15 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
14 years 9 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
15 years 10 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
15 years 1 months 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
15 years 11 months ago
2008
IEEE
