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ICDAR
2009
IEEE
14 years 9 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
IDEAL
2004
Springer
15 years 5 months ago
Kernel Density Construction Using Orthogonal Forward Regression
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Sheng Chen, Xia Hong, Chris J. Harris
LICS
2009
IEEE
15 years 6 months ago
Clipping: A Semantics-Directed Syntactic Approximation
In this paper we introduce “clipping,” a new method of syntactic approximation which is motivated by and works in conjunction with a sound and decidable denotational model for...
Dan R. Ghica, Adam Bakewell
JUCS
2008
194views more  JUCS 2008»
14 years 11 months ago
An Application of Meta Search Agent System Based on Semantized Tags for Enhanced Web Searching
: Web searching techniques have been investigated and implemented in many aspects. Particularly, in case of personalization, more important issue is how to manipulate the results r...
Chonggun Kim, JaeYoun Jung, Hyeon-Cheol Zin, Jason...
SIGIR
2010
ACM
14 years 12 months ago
Generalized syntactic and semantic models of query reformulation
We present a novel approach to query reformulation which combines syntactic and semantic information by means of generalized Levenshtein distance algorithms where the substitution...
Amac Herdagdelen, Massimiliano Ciaramita, Daniel M...