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LION
2009
Springer
129views Optimization» more  LION 2009»
16 years 1 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
RECOMB
2005
Springer
16 years 6 months ago
Towards an Integrated Protein-Protein Interaction Network
Abstract. Protein-protein interactions play a major role in most cellular processes. Thus, the challenge of identifying the full repertoire of interacting proteins in the cell is o...
Ariel Jaimovich, Gal Elidan, Hanah Margalit, Nir F...
WOSP
2005
ACM
16 years 3 days ago
Applying SPE techniques for modeling a grid-enabled JAVA platform
Advances in Internet and the availability of powerful computers and high-speed networks have propitiated the rise of Grids. The scheduling of applications is complex in Grids due ...
Mariela Curiel, M. Angélica Pérez, R...
ADHOC
2008
103views more  ADHOC 2008»
15 years 6 months ago
Impact of sensor-enhanced mobility prediction on the design of energy-efficient localization
Energy efficiency and positional accuracy are often contradictive goals. We propose to decrease power consumption without sacrificing significant accuracy by developing an energy-...
Chuang-Wen You, Polly Huang, Hao-Hua Chu, Yi-Chao ...
MOBIHOC
2010
ACM
15 years 4 months ago
Longest-queue-first scheduling under SINR interference model
We investigate the performance of longest-queue-first (LQF) scheduling (i.e., greedy maximal scheduling) for wireless networks under the SINR interference model. This interference...
Long Bao Le, Eytan Modiano, Changhee Joo, Ness B. ...