2683 search results - page 268 / 537 » Machine learning problems from optimization perspective |
130
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
134
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
147
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ECAI
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
114
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ESA
2008
Springer
15 years 5 months ago
2008
Springer
This paper re-examines the classical problem of minimizing maximum lateness which is defined as follows: given a collection of n jobs with processing times and due dates, in what o...
122
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ICML
2002
IEEE
16 years 4 months ago
2002
IEEE
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...