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» Learning the required number of agents for complex tasks
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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
14 years 2 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
CBMS
2009
IEEE
14 years 2 months ago
Lessons learned in developing a low-cost high performance medical imaging cluster
This paper explores the usefulness of the Sony PlayStation 3 R (PS3) for medical image processing. Medical image processing often entails dealing with a large number of high resol...
Kirt D. Lillywhite, Dah-Jye Lee, Sameer Antani, Do...
AAAI
2008
13 years 10 months ago
Artificial Intelligence Needs Open-Access Knowledgebase Contents
ar for abstract concepts, and a number of formally expressed, structural restrictions. Copyright c 2008, Association for the Advancement of Artificial Intelligence (www.aaai.org). ...
Erik Sandewall
AAAI
1990
13 years 9 months ago
The Representation of Defaults in Cyc
This paper provides an account of the representation of defaults in Cyc and their semantics in terms of first order logic with reification. Default reasoning is a complex thing, a...
Ramanathan V. Guha
FLAIRS
2006
13 years 9 months ago
Simulated Visual Perception-Based Control for Autonomous Mobile Agents
Autonomous robots, such as automatic vacuum cleaners, toy robot dogs, and autonomous vehicles for the military, are rapidly becoming a part of everyday life. As a result the need ...
Daniel Flower, Burkhard Wünsche, Hans W. Gues...