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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 1 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
AAIM
2005
Springer
119views Algorithms» more  AAIM 2005»
13 years 11 months ago
Locating Performance Monitoring Mobile Agents in Scalable Active Networks
The idea of active networks has been emerged in recent years to increase the processing power inside the network. The intermediate nodes such as routers will be able to host mobile...
Amir Hossein Hadad, Mehdi Dehghan, Hossein Pedram
MOBICOM
2010
ACM
13 years 10 months ago
Indoor localization without the pain
While WiFi-based indoor localization is attractive, the need for a significant degree of pre-deployment effort is a key challenge. In this paper, we ask the question: can we perfo...
Krishna Chintalapudi, Anand Padmanabha Iyer, Venka...
BMCBI
2010
167views more  BMCBI 2010»
13 years 10 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
BMCBI
2008
160views more  BMCBI 2008»
13 years 10 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...