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» Computational Probabilistic Non-interference
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ATAL
2005
Springer
15 years 6 months ago
Tunably decentralized algorithms for cooperative target observation
Multi-agent problem domains may require distributed algorithms for a variety of reasons: local sensors, limitations of communication, and availability of distributed computational...
Sean Luke, Keith Sullivan, Liviu Panait, Gabriel C...
109
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CCIA
2005
Springer
15 years 6 months ago
Classifying Natural Objects on Outdoor Scenes
We propose an hybrid and probabilistic classification of image regions belonging to scenes primarily containing natural objects, e.g. sky, trees, etc. as a first step in solving ...
Anna Bosch, Xavier Muñoz, Joan Martí...
FASE
2005
Springer
15 years 6 months ago
Using Scenarios to Predict the Reliability of Concurrent Component-Based Software Systems
Scenarios are a popular means for capturing behavioural requirements of software systems early in the lifecycle. Scenarios show how components interact to provide system level func...
Genaína Nunes Rodrigues, David S. Rosenblum...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 6 months ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 6 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang