9886 search results - page 231 / 1978 » Learning Compressible Models |
132
Voted
NIPS
2004
15 years 5 months ago
2004
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
134
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JMLR
2007
15 years 3 months ago
2007
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
104
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
We show that linear value-function approximation is equivalent to a form of linear model approximation. We then derive a relationship between the model-approximation error and the...
172
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ABIALS
2008
Springer
15 years 10 months ago
2008
Springer
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
123
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NIPS
2003
15 years 5 months ago
2003
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...