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ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
13 years 8 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...
WWW
2008
ACM
14 years 5 months ago
Modeling anchor text and classifying queries to enhance web document retrieval
Several types of queries are widely used on the World Wide Web and the expected retrieval method can vary depending on the query type. We propose a method for classifying queries ...
Atsushi Fujii
SIGIR
2008
ACM
13 years 4 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
CSJM
2006
124views more  CSJM 2006»
13 years 5 months ago
Text Classification Using Word-Based PPM Models
Text classification is one of the most actual among the natural language processing problems. In this paper the application of word-based PPM (Prediction by Partial Matching) mode...
Victoria Bobicev