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ICML
2010
IEEE
15 years 29 days ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 9 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
CIKM
2010
Springer
15 years 1 months ago
A unified optimization framework for robust pseudo-relevance feedback algorithms
We present a flexible new optimization framework for finding effective, reliable pseudo-relevance feedback models that unifies existing complementary approaches in a principled wa...
Joshua V. Dillon, Kevyn Collins-Thompson
CVIU
2008
296views more  CVIU 2008»
15 years 3 months ago
Image segmentation evaluation: A survey of unsupervised methods
Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 8 months ago
The MaxSolve algorithm for coevolution
Coevolution can be used to adaptively choose the tests used for evaluating candidate solutions. A long-standing question is how this dynamic setup may be organized to yield reliab...
Edwin D. de Jong