125 search results - page 12 / 25 » Combining labeled and unlabeled data with word-class distrib... |
ECML
2001
Springer
15 years 2 months ago
2001
Springer
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
105
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SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
102
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PAMI
2010
14 years 4 months ago
2010
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...