2712 search results - page 279 / 543 » On learning algorithm selection for classification |
184
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
202
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PPSN
2010
Springer
15 years 4 months ago
2010
Springer
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
186
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CHI
2009
ACM
16 years 7 months ago
2009
ACM
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
171
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KDD
2003
ACM
16 years 7 months ago
2003
ACM
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
192
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IJCAI
2007
15 years 8 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...