48 search results - page 5 / 10 » A structure-sensitive framework for text categorization |
AAAI
1997
14 years 11 months ago
1997
In many real-world domains, supervised learning requires a large number of training examples. In this paper, we describe an active learning method that uses a committee of learner...
76
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NAACL
2007
14 years 11 months ago
2007
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
103
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IDA
2006
Springer
14 years 9 months ago
2006
Springer
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
72
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SIGIR
2010
ACM
15 years 1 months ago
2010
ACM
We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...