2934 search results - page 236 / 587 » Hypothesis Spaces for Learning |
207
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ML
2010
ACM
15 years 5 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
167
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CORR
2010
Springer
15 years 3 months ago
2010
Springer
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
222
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JMLR
2012
13 years 9 months ago
2012
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
210
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WWW
2003
ACM
16 years 7 months ago
2003
ACM
The large amount of information now available on the Web can play a prominent role in building a cooperative intelligent distance learning environment. We propose a system to prov...
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...