4255 search results - page 320 / 851 » On Learning Boolean Functions |
198
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
196
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JMLR
2008
15 years 6 months ago
2008
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
218
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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...
214
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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...