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119
Voted
ESANN
2006
15 years 5 months ago
2006
We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...
150
Voted
PRL
2008
15 years 3 months ago
2008
We develop a new multiclass classification method that reduces the multiclass problem to a single binary classifier (SBC). Our method constructs the binary problem by embedding sm...
142
Voted
GECCO
2007
Springer
15 years 7 months ago
2007
Springer
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
124
Voted
ML
2002
ACM
15 years 3 months ago
2002
ACM
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
137
Voted
ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...