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TNN
1998
123views more  TNN 1998»
14 years 11 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
BMCBI
2008
174views more  BMCBI 2008»
14 years 12 months ago
Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset
Background: Inferring gene regulatory networks from data requires the development of algorithms devoted to structure extraction. When only static data are available, gene interact...
Cédric Auliac, Vincent Frouin, Xavier Gidro...
ISPDC
2008
IEEE
15 years 6 months ago
Algorithms for Network Topology Discovery using End-to-End Measurements
Identifying and inferring performances of a network topology is a well known problem. Achieving this by using only end-to-end measurements at the application level is a method kno...
Laurent Bobelin, Traian Muntean
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 6 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
CP
2006
Springer
15 years 3 months ago
Constraint Based Resilience Analysis
Abstract. In this paper we give an overview of applications of Constraint Programming for IP (Internet Protocol) data networks, and discuss the problem of Resilience Analysis in mo...
Helmut Simonis