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AIRS
2004
Springer
14 years 1 months ago
Automatic Word Clustering for Text Categorization Using Global Information
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Wenliang Chen, Xingzhi Chang, Huizhen Wang, Jingbo...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 8 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
WAE
1998
118views Algorithms» more  WAE 1998»
13 years 9 months ago
Guarding Scenes against Invasive Hypercubes
In recent years realistic input models for geometric algorithms have been studied. The most important models introduced are fatness, low density, unclutteredness, and small simple...
Mark de Berg, Haggai David, Matthew J. Katz, Mark ...
APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
13 years 10 months ago
Learning Random Monotone DNF
We give an algorithm that with high probability properly learns random monotone DNF with t(n) terms of length log t(n) under the uniform distribution on the Boolean cube {0, 1}n ....
Jeffrey C. Jackson, Homin K. Lee, Rocco A. Servedi...
CIKM
2004
Springer
14 years 1 months ago
Unified utility maximization framework for resource selection
This paper presents a unified utility framework for resource selection of distributed text information retrieval. This new framework shows an efficient and effective way to infer ...
Luo Si, James P. Callan