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GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
15 years 10 months ago
Minimum spanning trees made easier via multi-objective optimization
Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
Frank Neumann, Ingo Wegener
EOR
2006
118views more  EOR 2006»
15 years 4 months ago
Multi-objective tabu search using a multinomial probability mass function
A tabu search approach to solve multi-objective combinatorial optimization problems is developed in this paper. This procedure selects an objective to become active for a given it...
Sadan Kulturel-Konak, Alice E. Smith, Bryan A. Nor...
150
Voted
PAA
2007
15 years 4 months ago
Pairwise feature evaluation for constructing reduced representations
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...
Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robe...
ICC
2007
IEEE
141views Communications» more  ICC 2007»
15 years 11 months ago
A Decomposition-Based Low-Complexity Scheduling Scheme for Power Minimization under Delay Constraints in Time-Varying Uplink Cha
Abstract— In this paper, we investigate the problem of minimizing the average transmission power of users while guaranteeing the average delay constraints in time-varying uplink ...
Hojoong Kwon, Byeong Gi Lee
JMLR
2012
13 years 7 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu