1701 search results - page 204 / 341 » Learning Mappings with Neural Network |
153
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NN
2006
Springer
15 years 5 months ago
2006
Springer
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
147
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NN
2006
Springer
15 years 5 months ago
2006
Springer
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
163
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NN
2002
Springer
15 years 5 months ago
2002
Springer
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
146
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ICML
2005
IEEE
16 years 6 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
161
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ICANN
2009
Springer
16 years 15 days ago
2009
Springer
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...