2126 search results - page 154 / 426 » An optimization algorithm for imprecise multi-objective prob... |
164
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
148
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GECCO
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
195
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SIAMJO
2010
15 years 1 months ago
2010
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
155
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NIPS
2007
15 years 7 months ago
2007
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
158
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ICDT
2010
ACM
16 years 3 months ago
2010
ACM
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...