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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 9 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
132
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GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 9 months ago
Takeover times on scale-free topologies
The topological properties of a network directly impact the flow of information through a system. In evolving populations, the topology of inter-individual interactions affects th...
Joshua L. Payne, Margaret J. Eppstein
AAAI
2006
15 years 5 months ago
Efficient Active Fusion for Decision-Making via VOI Approximation
Active fusion is a process that purposively selects the most informative information from multiple sources as well as combines these information for achieving a reliable result ef...
Wenhui Liao, Qiang Ji
153
Voted
WICON
2008
15 years 5 months ago
Towards distributed network classification for mobile ad hoc networks
Mobile ad hoc networks range from traditional MANETs where end-to-end paths exist from sources to destinations, to DTNs where no contemporaneous end-to-end paths exist and communi...
Dimitrios Antonellis, Ahmed Mansy, Konstantinos Ps...
112
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CL
2008
Springer
15 years 3 months ago
Unanticipated partial behavioral reflection: Adapting applications at runtime
Dynamic, unanticipated adaptation of running systems is of interest in a variety of situations, ranging from functional upgrades to on-the-fly debugging or monitoring of critical ...
David Röthlisberger, Marcus Denker, Ér...