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GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
15 years 10 months ago
Mixing independent classifiers
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
Jan Drugowitsch, Alwyn Barry
ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
15 years 10 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes
CSCLP
2004
Springer
15 years 10 months ago
Constraint-Based Approaches to the Covering Test Problem
Covering arrays have been studied for their applications to drug screening and software and hardware testing. In this paper, we model the problem as a constraint program. Our propo...
Brahim Hnich, Steven David Prestwich, Evgeny Selen...
CLOR
2006
15 years 10 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
DAGM
2006
Springer
15 years 10 months ago
Near Real-Time Motion Segmentation Using Graph Cuts
We present a new approach to integrated motion estimation and segmentation by combining methods from discrete and continuous optimization. The velocity of each of a set of regions ...
Thomas Schoenemann, Daniel Cremers