3668 search results - page 19 / 734 » Margin Distribution and Learning |
CSDA
2006
14 years 9 months ago
2006
116
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ESOP
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
ESANN
2006
14 years 11 months ago
2006
In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
73
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JMLR
2010
14 years 4 months ago
2010
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic fun...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...