1343 search results - page 87 / 269 » Learning Weighted Automata |
113
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ICONIP
1998
15 years 3 months ago
1998
Learning transfer is the improvement in performance on one task having learnt a related task. That the degree of transfer is signi cantly greater in humans than other primates and...
138
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TNN
1998
15 years 2 months ago
1998
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
134
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ICML
2010
IEEE
15 years 13 days ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
102
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AIRS
2008
Springer
15 years 8 months ago
2008
Springer
We present a novel approach that transforms the weighting task to a typical coarse-grained classification problem, aiming to assign appropriate weights for candidate expansion term...
103
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...