978 search results - page 28 / 196 » Infinite Ensemble Learning with Support Vector Machines |
130
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ML
2002
ACM
15 years 1 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
93
Voted
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
We propose a new stopping condition for a Support Vector Machine (SVM) solver which precisely reflects the objective of the Leave-OneOut error computation. The stopping condition ...
117
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
138
Voted
CORR
2011
Springer
14 years 5 months ago
2011
Springer
We consider a suboptimal solution path algorithm for the Support Vector Machine. The solution path algorithm is an effective tool for solving a sequence of a parametrized optimiz...
118
Voted
ESANN
2000
15 years 3 months ago
2000
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...