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» Support vector clustering

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ICML
2007
IEEE

170views Machine Learning» more ICML 2007»

Transductive support vector machines for structured variables

14 years 9 months ago

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We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...

Alexander Zien, Ulf Brefeld, Tobias Scheffer

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ICML
2007
IEEE

147views Machine Learning» more ICML 2007»

Solving multiclass support vector machines with LaRank

14 years 9 months ago

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Optimization algorithms for large margin multiclass recognizers are often too costly to handle ambitious problems with structured outputs and exponential numbers of classes. Optim...

Antoine Bordes, Jason Weston, Léon Bottou, ...

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ICML
2003
IEEE

157views Machine Learning» more ICML 2003»

Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors

14 years 9 months ago

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Dennis DeCoste, Dominic Mazzoni

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ICML
2001
IEEE

127views Machine Learning» more ICML 2001»

A Unified Loss Function in Bayesian Framework for Support Vector Regression

14 years 9 months ago

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In this paper, we propose a unified non-quadratic loss function for regression known as soft insensitive loss function (SILF). SILF is a flexible model and possesses most of the d...

Wei Chu, S. Sathiya Keerthi, Chong Jin Ong

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KDD
2008
ACM

152views Data Mining» more KDD 2008»

Automatic record linkage using seeded nearest neighbour and support vector machine classification

14 years 9 months ago

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