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» Complexity Measures of Supervised Classification Problems
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IAT
2009
IEEE
14 years 1 months ago
Confusion and Distance Metrics as Performance Criteria for Hierarchical Classification Spaces
When intelligent systems reason about complex problems with a large hierarchical classification space it is hard to evaluate system performance. For classification problems, differ...
Wilbert van Norden, Catholijn M. Jonker
AVSS
2007
IEEE
14 years 4 months ago
Improved one-class SVM classifier for sounds classification
This paper proposes to apply optimized One-Class Support Vector Machines (1-SVMs) as a discriminative framework in order to address a specific audio classification problem. Firs...
Asma Rabaoui, Manuel Davy, Stéphane Rossign...
SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
13 years 11 months ago
A Spamicity Approach to Web Spam Detection
Web spam, which refers to any deliberate actions bringing to selected web pages an unjustifiable favorable relevance or importance, is one of the major obstacles for high quality ...
Bin Zhou 0002, Jian Pei, ZhaoHui Tang
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 10 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
ICML
2004
IEEE
14 years 10 months ago
Margin based feature selection - theory and algorithms
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby