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» Techniques for Optimization of Net Algorithms
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GECCO
2010
Springer
190views Optimization» more  GECCO 2010»
15 years 8 months ago
Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed
In this paper, we compare the (1+1)-CMA-ES to the (1+2s m)CMA-ES, a recently introduced quasi-random (1+2)-CMAES that uses mirroring as derandomization technique as well as a sequ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
VLDB
1998
ACM
142views Database» more  VLDB 1998»
15 years 8 months ago
On the Discovery of Interesting Patterns in Association Rules
Many decision support systems, which utilize association rules for discovering interesting patterns, require the discovery of association rules that vary over time. Such rules des...
Sridhar Ramaswamy, Sameer Mahajan, Abraham Silbers...
BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
15 years 7 months ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li
GLVLSI
2009
IEEE
142views VLSI» more  GLVLSI 2009»
15 years 7 months ago
Design tools for emerging technologies
The rapidly expanding diversity of technology available at the nanoscale is disrupting the existing transistorcentric microelectronics design paradigm, resulting in nearly decade-l...
Jacob White
140
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ECML
2006
Springer
15 years 7 months ago
Combinatorial Markov Random Fields
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
Ron Bekkerman, Mehran Sahami, Erik G. Learned-Mill...