89 search results - page 4 / 18 » Context-sensitive Learning Methods for Text Categorization |
104
Voted
AAAI
1997
15 years 3 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...
94
Voted
SIGIR
2003
ACM
15 years 7 months ago
2003
ACM
A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
137
Voted
NIPS
2008
15 years 3 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
104
Voted
NAACL
2007
15 years 3 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...
108
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MM
2006
ACM
15 years 7 months ago
2006
ACM
Conventional image categorization techniques primarily rely on low-level visual cues. In this paper, we describe a multimodal fusion scheme which improves the image classification...