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» Selection of Optimal Rule Refinements
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CORR
2011
Springer
212views Education» more  CORR 2011»
13 years 2 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...
AAAI
2006
13 years 9 months ago
Computing Slater Rankings Using Similarities among Candidates
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Vincent Conitzer
ICPR
2008
IEEE
14 years 8 months ago
Layered object categorization
In this paper, we propose a novel framework of object categorization, namely layered object categorization, which takes advantage of hierarchical category information and performs...
Hong Cheng, Jie Yang, Lei Yang, Nanning Zheng
DAC
2006
ACM
14 years 8 months ago
Design automation for DNA self-assembled nanostructures
DNA self-assembly is an emerging technology with potential as a future replacement of conventional lithographic fabrication. A key challenge is the specification of appropriate DN...
Constantin Pistol, Alvin R. Lebeck, Chris Dwyer
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
14 years 1 months ago
Addressing sampling errors and diversity loss in UMDA
Estimation of distribution algorithms replace the typical crossover and mutation operators by constructing a probabilistic model and generating offspring according to this model....
Jürgen Branke, Clemens Lode, Jonathan L. Shap...