3643 search results - page 171 / 729 » Learning Submodular Functions |
153
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NIPS
2001
15 years 7 months ago
2001
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
205
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NN
2000
Springer
15 years 6 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
132
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ALT
2010
Springer
15 years 8 months ago
2010
Springer
We further develop the idea that the PAC-Bayes prior can be informed by the data-generating distribution. We prove sharp bounds for an existing framework of Gibbs algorithms, and ...
185
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CORR
2002
Springer
15 years 6 months ago
2002
Springer
We present a generalization of conventional artificial neural networks that allows for a functional equivalence to multi-expert systems. The new model provides an architectural fr...
175
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ICPR
2000
IEEE
16 years 7 months ago
2000
IEEE
Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping describ...