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» Solving Hierarchical Optimization Problems Using MOEAs
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167
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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 6 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
NEUROSCIENCE
2001
Springer
15 years 4 months ago
Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle
The Brain is a slow computer yet humans can skillfully play games such as tennis where very fast reactions are required. Of particular interest is the evidence for strategic thinki...
Guido Bugmann
107
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AIPS
2010
15 years 2 months ago
Action Elimination and Plan Neighborhood Graph Search: Two Algorithms for Plan Improvement
Compared to optimal planners, satisficing planners can solve much harder problems but may produce overly costly and long plans. Plan quality for satisficing planners has become in...
Hootan Nakhost, Martin Müller 0003
86
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AINA
2010
IEEE
15 years 5 months ago
Grid of Segment Trees for Packet Classification
—Packet classification problem has received much attention and continued to be an important topic in recent years. In packet classification problem, each incoming packet should b...
Yeim-Kuan Chang, Yung-Chieh Lin, Chen-Yu Lin
DAGSTUHL
2001
15 years 1 months ago
Decision-Theoretic Control of Planetary Rovers
Planetary rovers are small unmanned vehicles equipped with cameras and a variety of sensors used for scientific experiments. They must operate under tight constraints over such res...
Shlomo Zilberstein, Richard Washington, Daniel S. ...