2326 search results - page 23 / 466 » Optimization on Support Vector Machines |
AAAI
2006
14 years 11 months ago
2006
This paper presents data selection procedures for support vector machines (SVM). The purpose of data selection is to reduce the dataset by eliminating as many non support vectors ...
GECCO
2010
Springer
15 years 1 months ago
2010
Springer
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
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KDD
2012
ACM
13 years 4 days ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
ICML
2009
IEEE
15 years 4 months ago
2009
IEEE
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
PRL
2006
14 years 9 months ago
2006
In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...