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» Towards Using Fewer Features for Text Classification
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ICPR
2004
IEEE
16 years 27 days ago
The Characterization of Classification Problems by Classifier Disagreements
In this paper we try to characterize a set of classification problems. For this, we use the disagreement between a set of standard classifiers. The disagreement patterns do not on...
David M. J. Tax, Elzbieta Pekalska, Robert P. W. D...
APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 1 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov
SIGIR
2008
ACM
14 years 11 months ago
Deep classification in large-scale text hierarchies
Most classification algorithms are best at categorizing the Web documents into a few categories, such as the top two levels in the Open Directory Project. Such a classification me...
Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu
ICONIP
2008
15 years 1 months ago
A Novel Approach for Hardware Based Sound Classification
Several applications would emerge from the development of efficient and robust sound classification systems able to identify the nature of non-speech sound sources. This paper prop...
Mauricio Kugler, Victor Alberto Parcianello Benso,...
ACL
2011
14 years 3 months ago
Automatically Evaluating Text Coherence Using Discourse Relations
We present a novel model to represent and assess the discourse coherence of text. Our model assumes that coherent text implicitly favors certain types of discourse relation transi...
Ziheng Lin, Hwee Tou Ng, Min-Yen Kan