3643 search results - page 227 / 729 » Learning Submodular Functions |
162
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AIPS
2007
15 years 9 months ago
2007
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
223
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ICCV
2011
IEEE
14 years 6 months ago
2011
IEEE
We present an approach for dictionary learning of action attributes via information maximization. We unify the class distribution and appearance information into an objective func...
199
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NIPS
2001
15 years 8 months ago
2001
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
181
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SAB
2010
Springer
15 years 5 months ago
2010
Springer
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
175
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NIPS
1993
15 years 7 months ago
1993
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...