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» Adaptive learning in evolving task allocation networks
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FLAIRS
2003
13 years 8 months ago
A Case-Based Adaptation Model for Thyroid Cancer Diagnosis Using Neural Networks
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Abdel-Badeeh M. Salem, Bassant El Bagoury
IJCAI
2007
13 years 8 months ago
Analogical Learning in a Turn-Based Strategy Game
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
Thomas R. Hinrichs, Kenneth D. Forbus
ANCS
2008
ACM
13 years 9 months ago
On runtime management in multi-core packet processing systems
Computer networks require increasingly complex packet processing in the data path to adapt to new functionality requirements. To meet performance demands, packet processing system...
Qiang Wu, Tilman Wolf
CORR
2004
Springer
122views Education» more  CORR 2004»
13 years 7 months ago
Evolution of a Subsumption Architecture Neurocontroller
An approach to robotics called layered evolution and merging features from the subsumption architecture into evolutionary robotics is presented, and its advantages are discussed. T...
Julian Togelius
ARCS
2005
Springer
14 years 28 days ago
Self-Organization in Sensor Networks using Bio-Inspired Mechanisms
Bio-inspired communication methodologies promise to enable more scalable self-organizing network infrastructures. Especially in the area of mobile ad hoc sensor networks, such sol...
Falko Dressler, Bettina Krüger, Gerhard Fuchs...