44 search results - page 4 / 9 » Combining clustering and co-training to enhance text classif... |
SIGIR
2010
ACM
13 years 6 months ago
2010
ACM
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
KDD
2004
ACM
14 years 6 months ago
2004
ACM
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
KDD
2002
ACM
14 years 6 months ago
2002
ACM
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
AAAI
2004
13 years 7 months ago
2004
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
TIP
2002
13 years 5 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...