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» Learning Overcomplete Representations
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AAAI
2007
15 years 3 months ago
The Marchitecture: A Cognitive Architecture for a Robot Baby
The Marchitecture is a cognitive architecture for autonomous development of representations. The goals of The Marchitecture are domain independence, operating in the absence of kn...
Marc Pickett, Tim Oates
CEC
2008
IEEE
15 years 2 months ago
Subtree deactivation control with grammatical Genetic Programming in dynamic environments
Abstract-- We investigate the usefulness of a subtree deactivation control mechanism which is open to evolutionary learning. It is hypothesised that this representation confers an ...
Michael O'Neill, Anthony Brabazon, Erik Hemberg
NIPS
2007
15 years 2 months ago
Stable Dual Dynamic Programming
Recently, we have introduced a novel approach to dynamic programming and reinforcement learning that is based on maintaining explicit representations of stationary distributions i...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
80
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COLING
2000
15 years 2 months ago
Local context templates for Chinese constituent boundary prediction
: In this paper, we proposed a shallow syntactic knowledge description: constituent boundary representation and its simple and efficient prediction algorithm, based on different lo...
Qiang Zhou
107
Voted
COGSR
2010
116views more  COGSR 2010»
14 years 7 months ago
On the cognitive process of human problem solving
act 11 One of the fundamental human cognitive processes is problem solving. As a higher-layer cognitive process, problem solving interacts many other cognitive processes such as ab...
Yingxu Wang, Vincent Chiew