3837 search results - page 384 / 768 » Learning Approximate Consistencies |
164
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AAAI
2007
15 years 9 months ago
2007
In normal scenarios, computer scientists often consider the number of states in a game to capture the difficulty of learning an equilibrium. However, players do not see games in ...
186
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ACL
2009
15 years 4 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
182
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ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
Our goal is to automatically identify which species of bird is present in an audio recording using supervised learning. Devising effective algorithms for bird species classificati...
188
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
147
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We consider the problem of choosing, sequentially, a map which assigns elements of a set A to a few elements of a set B. On each round, the algorithm suffers some cost associated ...