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GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
15 years 5 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
INFOCOM
2005
IEEE
15 years 5 months ago
A beacon-less location discovery scheme for wireless sensor networks
— In wireless sensor networks (WSNs), sensor location plays a critical role in many applications. Having a GPS receiver on every sensor node is costly. In the past, a number of l...
Lei Fang, Wenliang Du, Peng Ning
EWCBR
2006
Springer
15 years 3 months ago
Contextualised Ambient Intelligence Through Case-Based Reasoning
Ambient Intelligence is a research area that has gained a lot of attention in recent years. One of the most important issues for ambient intelligent systems is to perceive the envi...
Anders Kofod-Petersen, Agnar Aamodt
FOCS
1990
IEEE
15 years 3 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
COR
2010
96views more  COR 2010»
14 years 11 months ago
Strong activity rules for iterative combinatorial auctions
Activity rules have emerged in recent years as an important aspect of practical auction design. The role of an activity rule in an iterative auction is to suppress strategic behav...
Pavithra Harsha, Cynthia Barnhart, David C. Parkes...