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» Learning Internal Representations
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150
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CEC
2008
IEEE
15 years 5 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
131
Voted
NIPS
2007
15 years 5 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...
108
Voted
COLING
2000
15 years 5 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
160
Voted
AGI
2011
14 years 7 months ago
Extending Cognitive Architectures with Semantic Resources
This paper presents an integrated modeling framework where the learning and knowledge retrieval mechanisms of the ACT-R cognitive architecture are combined with a semantic resource...
Alessandro Oltramari, Christian Lebiere
129
Voted
SCVMA
2004
Springer
15 years 9 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic