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» A New Class Based Associative Classification Algorithm
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DASFAA
2007
IEEE
187views Database» more  DASFAA 2007»
15 years 8 months ago
OntoDB: An Ontology-Based Database for Data Intensive Applications
Recently, several approaches and systems were proposed to store in the same database data and the ontologies describing their meanings. We call these databases, ontology-based data...
Dehainsala Hondjack, Guy Pierra, Ladjel Bellatrech...
123
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PRL
2006
79views more  PRL 2006»
15 years 2 months ago
Multi-class feature selection for texture classification
In this paper, a multi-class feature selection scheme based on recursive feature elimination (RFE) is proposed for texture classifications. The feature selection scheme is perform...
Xue-wen Chen, Xiang-Yan Zeng, Deborah van Alphen
CP
2005
Springer
15 years 8 months ago
Mind the Gaps: A New Splitting Strategy for Consistency Techniques
Classical methods for solving numerical CSPs are based on a branch and prune algorithm, a dichotomic enumeration process interleaved with a consistency filtering algorithm. In man...
Heikel Batnini, Claude Michel, Michel Rueher
PAA
2008
15 years 2 months ago
Online nonparametric discriminant analysis for incremental subspace learning and recognition
This paper presents a novel approach for online subspace learning based on an incremental version of the nonparametric discriminant analysis (NDA). For many real-world applications...
Bogdan Raducanu, Jordi Vitrià
SIAMCO
2000
117views more  SIAMCO 2000»
15 years 2 months ago
The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergen...
Vivek S. Borkar, Sean P. Meyn