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SAC
2010
ACM
13 years 2 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
FSS
2010
102views more  FSS 2010»
13 years 4 months ago
Measuring conflict and agreement between two prioritized knowledge bases in possibilistic logic
In this paper we investigate the relationship between two prioritized knowledge bases by measuring both the conflict and the agreement between them. First of all, a quantity of co...
Guilin Qi, Weiru Liu, David A. Bell
ICPR
2006
IEEE
14 years 8 months ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh
CORR
2008
Springer
77views Education» more  CORR 2008»
13 years 7 months ago
Crowdsourcing, Attention and Productivity
We show through an analysis of a massive data set from YouTube that the productivity exhibited in crowdsourcing exhibits a strong positive dependence on attention, measured by the...
Bernardo A. Huberman, Daniel M. Romero, Fang Wu
MCSS
2007
Springer
13 years 7 months ago
Lyapunov functions for time-varying systems satisfying generalized conditions of Matrosov theorem
The classical Matrosov theorem concludes uniform asymptotic stability of time varying systems via a weak Lyapunov function (positive definite, decrescent, with negative semidefi...
Frédéric Mazenc, Dragan Nesic