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» A parallel learning algorithm for text classification
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2005
Tsinghua U.
15 years 3 months ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
ADC
2003
Springer
115views Database» more  ADC 2003»
15 years 1 months ago
Document Classification via Structure Synopses
Information available in the Internet is frequently supplied simply as plain ascii text, structured according to orthographic and semantic conventions. Traditional document classi...
Liping Ma, John Shepherd, Anh Nguyen
ICML
2010
IEEE
14 years 7 months ago
Mining Clustering Dimensions
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...
Sajib Dasgupta, Vincent Ng
DEXAW
2007
IEEE
133views Database» more  DEXAW 2007»
15 years 1 months ago
Generating a Topic Hierarchy from Dialect Texts
We built a system for the automatic creation of a textbased topic hierarchy, meant to be used in a geographically defined community. This poses two main problems. First, the appea...
Wim De Smet, Marie-Francine Moens
IDA
2006
Springer
14 years 9 months ago
Sequential patterns for text categorization
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...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire