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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 10 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 10 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell
CSDA
2006
145views more  CSDA 2006»
15 years 7 months ago
An improved method for generalized constrained canonical correlation analysis
An improved method for generalized constrained canonical correlation analysis (GCCANO) is proposed. In the original GCCANO, data matrices were first decomposed into the sum of sev...
Yoshio Takane, Haruo Yanai, Heungsun Hwang
EOR
2007
80views more  EOR 2007»
15 years 7 months ago
A partition approach to the inventory/routing problem
In this study we focus on the integration of inventory control and vehicle routing schedules for a distribution system in which the warehouse is responsible for the replenishment ...
Qiu-Hong Zhao, Shouyang Wang, Kin Keung Lai
JMLR
2010
184views more  JMLR 2010»
15 years 1 months ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...
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