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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 10 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...
127
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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 10 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
158
Voted
INFOCOM
2006
IEEE
15 years 9 months ago
Theory and Network Applications of Dynamic Bloom Filters
Abstract— A bloom filter is a simple, space-efficient, randomized data structure for concisely representing a static data set, in order to support approximate membership querie...
Deke Guo, Jie Wu, Honghui Chen, Xueshan Luo
CASES
2006
ACM
15 years 9 months ago
Architecture and circuit techniques for low-throughput, energy-constrained systems across technology generations
Rising interest in the applications of wireless sensor networks has spurred research in the development of computing systems for lowthroughput, energy-constrained applications. Un...
Mark Hempstead, Gu-Yeon Wei, David Brooks
136
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SPAA
2006
ACM
15 years 9 months ago
Playing push vs pull: models and algorithms for disseminating dynamic data in networks
Consider a network in which a collection of source nodes maintain and periodically update data objects for a collection of sink nodes, each of which periodically accesses the data...
R. C. Chakinala, Abishek Kumarasubramanian, Kofi A...