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» Learning to Support Constraint Programmers
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ICML
2007
IEEE
15 years 10 months ago
Local similarity discriminant analysis
We propose a local, generative model for similarity-based classification. The method is applicable to the case that only pairwise similarities between samples are available. The c...
Luca Cazzanti, Maya R. Gupta
ECML
2005
Springer
15 years 3 months ago
Rotational Prior Knowledge for SVMs
Incorporation of prior knowledge into the learning process can significantly improve low-sample classification accuracy. We show how to introduce prior knowledge into linear supp...
Arkady Epshteyn, Gerald DeJong
ECTEL
2006
Springer
15 years 1 months ago
Multimedia Authoring for CoPs
One way of providing technological support for CoPs is to help participants to produce, structure and share information. As this information becomes more and more multimedia in nat...
Romain Deltour, Agnès Guerraz, Cécil...
CORR
2010
Springer
70views Education» more  CORR 2010»
14 years 9 months ago
Structured sparsity-inducing norms through submodular functions
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
Francis Bach
ICML
2010
IEEE
14 years 10 months ago
Robust Formulations for Handling Uncertainty in Kernel Matrices
We study the problem of uncertainty in the entries of the Kernel matrix, arising in SVM formulation. Using Chance Constraint Programming and a novel large deviation inequality we ...
Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib ...