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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 4 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...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 4 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
14 years 11 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
WICON
2008
14 years 11 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...
CL
2008
Springer
14 years 10 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...