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» Simulation Optimization: Methods and Applications
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BMCBI
2005
98views more  BMCBI 2005»
15 years 1 months ago
Iterative approach to model identification of biological networks
Background: Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is intr...
Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doy...
WINET
2010
224views more  WINET 2010»
15 years 5 days ago
Hierarchical geographic multicast routing for wireless sensor networks
Wireless sensor networks comprise typically dense deployments of large networks of small wireless capable sensor devices. In such networks, multicast is a fundamental routing servi...
Dimitrios Koutsonikolas, Saumitra M. Das, Y. Charl...
TON
2010
151views more  TON 2010»
14 years 8 months ago
Measurement-Driven Guidelines for 802.11 WLAN Design
Dense deployments of WLANs suffer from increased interference and as a result, reduced capacity. There are three main functions used to improve the overall network capacity: a) in...
Ioannis Broustis, Konstantina Papagiannaki, Srikan...
ISSTA
2009
ACM
15 years 8 months ago
Identifying bug signatures using discriminative graph mining
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xif...
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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 7 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez