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127
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JACIII
2006
97views more  JACIII 2006»
15 years 5 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
ENGL
2007
103views more  ENGL 2007»
15 years 5 months ago
Fault Diagnosis of Manufacturing Processes via Genetic Algorithm Approach
—Instantaneous detection and diagnosis of various faults and break-downs in industrial processes is required to reduce production losses and damage to equipments. A solved knowle...
Stefania Gallova
AIL
2005
90views more  AIL 2005»
15 years 5 months ago
Towards a multi-agent system for regulated information exchange in crime investigations
This paper outlines a multi-agent architecture for regulated information exchange of crime investigation data between police forces. Interactions between police officers about info...
Pieter Dijkstra, Floris Bex, Henry Prakken, Kees d...
CEE
2005
92views more  CEE 2005»
15 years 4 months ago
An adaptive call admission algorithm for cellular networks
In this paper, we first propose a new continuous action-set learning automaton and theoretically study its convergence properties and show that it converges to the optimal action....
Hamid Beigy, Mohammad Reza Meybodi
162
Voted
ML
1998
ACM
148views Machine Learning» more  ML 1998»
15 years 4 months ago
Colearning in Differential Games
Game playing has been a popular problem area for research in artificial intelligence and machine learning for many years. In almost every study of game playing and machine learnin...
John W. Sheppard