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INFORMATICALT
2011
89views more  INFORMATICALT 2011»
14 years 7 months ago
Large-Scale Data Analysis Using Heuristic Methods
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
Gintautas Dzemyda, Leonidas Sakalauskas
115
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TEC
2010
126views more  TEC 2010»
14 years 7 months ago
Learning the Large-Scale Structure of the MAX-SAT Landscape Using Populations
A new algorithm for solving MAX-SAT problems is introduced which clusters good solutions, and restarts the search from the closest feasible solution to the centroid of each cluster...
Mohamed Qasem, Adam Prügel-Bennett
95
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ISPASS
2008
IEEE
15 years 6 months ago
Conservative vs. Optimistic Parallelization of Stateful Network Intrusion Detection
This paper presents and experimentally evaluates two parallelization strategies for the popular open-source Snort network intrusion detection system (NIDS). Snort identifies intr...
Derek L. Schuff, Yung Ryn Choe, Vijay S. Pai
98
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EVOW
2007
Springer
15 years 6 months ago
An Adaptive Global-Local Memetic Algorithm to Discover Resources in P2P Networks
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
Ferrante Neri, Niko Kotilainen, Mikko Vapa
103
Voted
PERSUASIVE
2007
Springer
15 years 6 months ago
Fine Tuning the Persuasion in Persuasive Games
Persuasive games are a relatively new phenomenon, and hold promise as effective vehicles for persuasion. As yet, however, there are few set rules guiding how to design persuasive ...
Rilla Khaled, Pippin Barr, James Noble, Ronald Fis...