166 search results - page 15 / 34 » Semi-supervised Learning from Only Positive and Unlabeled Da... |
104
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KDD
2009
ACM
2009
ACM
Quantification and semi-supervised classification methods for handling changes in class distribution
16 years 3 months ago
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
161
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NLPRS
2001
Springer
15 years 7 months ago
2001
Springer
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
135
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IJCAI
2007
15 years 4 months ago
2007
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
130
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IJCAI
2007
15 years 4 months ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
111
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ML
2010
ACM
15 years 1 months ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...