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» Simulation Optimization: Methods and Applications
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ICDM
2002
IEEE
105views Data Mining» more  ICDM 2002»
15 years 9 months ago
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing
We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bian...
CVPR
2009
IEEE
16 years 11 months ago
Discriminatively Trained Particle Filters for Complex Multi-Object Tracking
This work presents a discriminative training method for particle filters in the context of multi-object tracking. We are motivated by the difficulty of hand-tuning the many mode...
Alan Fern, Robin Hess
IROS
2007
IEEE
99views Robotics» more  IROS 2007»
15 years 10 months ago
Multi-robot routing with rewards and disjoint time windows
Abstract— Multiple robots are often faster and more faulttolerant than single robots for applications such as planetary exploration and search and rescue. We study applications w...
Justin Melvin, Pinar Keskinocak, Sven Koenig, Crai...
GECCO
2003
Springer
15 years 9 months ago
Problem-Independent Schema Synthesis for Genetic Algorithms
Abstract. As a preprocessing for genetic algorithms, static reordering helps genetic algorithms effectively create and preserve high-quality schemata, and consequently improves th...
Yong-Hyuk Kim, Yung-Keun Kwon, Byung Ro Moon
ICPR
2004
IEEE
16 years 5 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna