1080 search results - page 123 / 216 » Hedging predictions in machine learning |
141
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
188
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LAMAS
2005
Springer
15 years 11 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
148
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ALT
2001
Springer
15 years 10 months ago
2001
Springer
We develop a theory for learning scenarios where multiple learners co-exist but there are mutual compatibility constraints on their outcomes. This is natural in cognitive learning...
169
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COLT
1993
Springer
15 years 10 months ago
1993
Springer
We describe three applications in computational learning theory of techniques and ideas recently introduced in the study of parameterized computational complexity. (1) Using param...
190
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...