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» The Dark Side of Object Learning: Learning Objects
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SIGIR
2010
ACM
13 years 11 months ago
Extending average precision to graded relevance judgments
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
Stephen E. Robertson, Evangelos Kanoulas, Emine Yi...
GECCO
2010
Springer
248views Optimization» more  GECCO 2010»
13 years 11 months ago
Integrating decision space diversity into hypervolume-based multiobjective search
Multiobjective optimization in general aims at learning about the problem at hand. Usually the focus lies on objective space properties such as the front shape and the distributio...
Tamara Ulrich, Johannes Bader, Eckart Zitzler
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
13 years 11 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
DAGSTUHL
2001
13 years 9 months ago
Visualization for the Mind's Eye
Software visualization has been almost exclusively tackled from the visual point of view; this means visualization occurs exclusively through the visual channel. This approach has ...
Nelson A. Baloian, Wolfram Luther
IMAGING
2004
13 years 9 months ago
Does an Expert Use memory Colors to Adjust Images?
In a previous experiment, we have studied the preference judgement of pictorial images with image experts and naive observers. We asked image experts to improve pictorial images t...
Clotilde Boust, Ferruccio Cittadini, Mohamed Ben C...