1173 search results - page 203 / 235 » Neural networks for computational neuroscience |
176
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CORR
2008
Springer
15 years 6 months ago
2008
Springer
Many models from a variety of areas involve the computation of an equilibrium or fixed point of some kind. Examples include Nash equilibria in games; market equilibria; computing o...
207
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HCI
2009
15 years 4 months ago
2009
Real-time, static and dynamic hand gesture learning and recognition makes it possible to have computers recognize hand gestures naturally. This creates endless possibilities in the...
161
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IJCNN
2008
IEEE
16 years 21 days ago
2008
IEEE
— Hybrid intelligent systems (HIS) are very successful in tackling problems comprising of more than one distinct computational subtask. For instance, decision-making problems are...
205
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ATAL
2005
Springer
15 years 11 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
167
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IWANN
1999
Springer
15 years 10 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...