3643 search results - page 215 / 729 » Learning Submodular Functions |
211
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NPL
2006
15 years 6 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
209
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CORR
2010
Springer
15 years 5 months ago
2010
Springer
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
162
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CRYPTO
2009
Springer
16 years 1 months ago
2009
Springer
The well-studied task of learning a linear function with errors is a seemingly hard problem and the basis for several cryptographic schemes. Here we demonstrate additional applicat...
154
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NPL
2006
15 years 6 months ago
2006
We show that under reasonable conditions, online learning for a nonlinear function near a local minimum is similar to a multivariate Ornstein Uhlenbeck process. This implies that ...
235
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AI
1998
Springer
15 years 6 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...