811 search results - page 99 / 163 » Minimal Kernel Classifiers |
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. In some learning settings, the cost of acquiring features for classification must be paid up front, before the classifier is evaluated. In this paper, we introduce the fo...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
103
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PR
2006
14 years 9 months ago
2006
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
103
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PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. When faced with the task of building accurate classifiers, active learning is often a beneficial tool for minimizing the requisite costs of human annotation. Traditional ...
CORR
2006
Springer
14 years 9 months ago
2006
Springer
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...