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GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
15 years 6 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
145
Voted
PERCOM
2007
ACM
16 years 4 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian
BMCBI
2008
118views more  BMCBI 2008»
15 years 5 months ago
Drug interaction prediction using ontology-driven hypothetical assertion framework for pathway generation followed by numerical
Background: In accordance with the increasing amount of information concerning individual differences in drug response and molecular interaction, the role of in silico prediction ...
Takeshi Arikuma, Sumi Yoshikawa, Ryuzo Azuma, Kent...
WINET
2010
153views more  WINET 2010»
15 years 3 months ago
Data aggregation in sensor networks using learning automata
One way to reduce energy consumption in wireless sensor networks is to reduce the number of packets being transmitted in the network. As sensor networks are usually deployed with a...
Mehdi Esnaashari, Mohammad Reza Meybodi
133
Voted
CHI
2009
ACM
16 years 5 months ago
Learning how: the search for craft knowledge on the internet
Communicating the subtleties of a craft technique, like putting a zipper into a garment or throwing a clay pot, can be challenging even when working side by side. Yet HowTo conten...
Cristen Torrey, Elizabeth F. Churchill, David W. M...