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» Learning and Applying Competitive Strategies
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121
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ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
15 years 2 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli
141
Voted
CVPR
2009
IEEE
16 years 7 months ago
Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions
This paper studies a framework for matching an unknown number of corresponding structures in two images (shapes), motivated by detecting objects in cluttered background and lear...
Kun Zeng, Liang Lin, Song Chun Zhu, Xiaobai Liu
98
Voted
ROBOCUP
1998
Springer
148views Robotics» more  ROBOCUP 1998»
15 years 4 months ago
The CMTrio-98 Sony-Legged Robot Team
Sony has provided a remarkable platform for research and development in robotic agents, namely fully autonomous legged robots. In this paper, we describe our work using Sony's...
Manuela M. Veloso, William T. B. Uther
GECCO
2004
Springer
151views Optimization» more  GECCO 2004»
15 years 6 months ago
Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of different textures are used as inputs ...
Brian T. Lam, Victor Ciesielski
115
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LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 6 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto