966 search results - page 55 / 194 » A Two-Level Learning Method for Generalized Multi-instance P... |
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CORR
2008
Springer
15 years 2 months ago
2008
Springer
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
113
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
113
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...
89
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ATAL
2007
Springer
15 years 8 months ago
2007
Springer
This article deals with the problem of collaborative learning in a multi-agent system. Here each agent can update incrementally its beliefs B (the concept representation) so that ...
104
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...