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ICML
2007
IEEE
15 years 11 months ago
Transductive support vector machines for structured variables
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...
Alexander Zien, Ulf Brefeld, Tobias Scheffer
AIPS
2006
15 years 6 days ago
Tractable Optimal Competitive Scheduling
In this paper we describe the problem of Optimal Competitive Scheduling, which consists of activities that compete for a shared resource. The objective is to choose a subset of ac...
Jeremy Frank, James Crawford, Lina Khatib, Ronen I...
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 2 months ago
A unified optimization framework for microelectronics industry
In this paper, an object-oriented unified optimization framework (UOF) for general problem optimization is proposed. Based on evolutionary algorithms, numerical deterministic meth...
Yiming Li, Cheng-Kai Chen, Yen-Yu Cho
CEC
2010
IEEE
14 years 11 months ago
The differential Ant-Stigmergy Algorithm for large-scale global optimization
— Ant-colony optimization (ACO) is a popular swarm intelligence metaheuristic scheme that can be applied to almost any optimization problem. In this paper, we address a performan...
Peter Korosec, Katerina Taskova, Jurij Silc
91
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TAMC
2009
Springer
15 years 5 months ago
Approximation and Hardness Results for Label Cut and Related Problems
We investigate a natural combinatorial optimization problem called the Label Cut problem. Given an input graph G with a source s and a sink t, the edges of G are classified into ...
Peng Zhang, Jin-yi Cai, Linqing Tang, Wenbo Zhao