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ACSW
2004
14 years 25 days ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 4 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo
CVPR
2007
IEEE
15 years 1 months ago
Feasibility Boundary in Dense and Semi-Dense Stereo Matching
In stereo literature, there is no standard method for evaluating algorithms for semi-dense stereo matching. Moreover, existing evaluations for dense methods require a fixed parame...
Jan Cech, Jana Kostlivá, Radim Sára