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GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
15 years 1 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
117
Voted
IJCIA
2006
88views more  IJCIA 2006»
15 years 15 days ago
Multi-Learner Based Recursive Supervised Training
In this paper, we propose the Multi-Learner Based Recursive Supervised Training (MLRT) algorithm which uses the existing framework of recursive task decomposition, by training the...
Laxmi R. Iyer, Kiruthika Ramanathan, Sheng Uei Gua...
AAMAS
2000
Springer
15 years 11 days ago
Rational Coordination in Multi-Agent Environments
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents, and present a framework that uses this paradigm t...
Piotr J. Gmytrasiewicz, Edmund H. Durfee
112
Voted
AAAI
2010
14 years 10 months ago
Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...
Wei Ping, Ye Xu, Kexin Ren, Chi-Hung Chi, Shen Fur...
123
Voted
ESA
2010
Springer
197views Algorithms» more  ESA 2010»
14 years 10 months ago
How to Allocate Goods in an Online Market?
Abstract. We study an online version of Fisher's linear case market. In this market there are m buyers and a set of n dividable goods to be allocated to the buyers. The utilit...
Yossi Azar, Niv Buchbinder, Kamal Jain