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» Inapproximability of Combinatorial Optimization Problems
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CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 11 months ago
Learning to rank with combinatorial Hodge theory
Abstract. We propose a number of techniques for learning a global ranking from data that may be incomplete and imbalanced -- characteristics that are almost universal to modern dat...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
MP
2011
13 years 6 months ago
Statistical ranking and combinatorial Hodge theory
We propose a number of techniques for obtaining a global ranking from data that may be incomplete and imbalanced — characteristics that are almost universal to modern datasets co...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
JPDC
2006
133views more  JPDC 2006»
13 years 11 months ago
Grid computing for parallel bioinspired algorithms
This paper focuses on solving large size combinatorial optimization problems using a Grid-enabled framework called ParadisEO
Nouredine Melab, Sébastien Cahon, El-Ghazal...
BMCBI
2006
110views more  BMCBI 2006»
13 years 11 months ago
Design of a combinatorial DNA microarray for protein-DNA interaction studies
Background: Discovery of precise specificity of transcription factors is an important step on the way to understanding the complex mechanisms of gene regulation in eukaryotes. Rec...
Julian Mintseris, Michael B. Eisen
FGCS
2000
83views more  FGCS 2000»
13 years 10 months ago
A Graph-based Ant System and its convergence
: A general framework for solving combinatorial optimization problems heuristically by the Ant System approach is developed. The framework is based on the concept of a construction...
Walter J. Gutjahr