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TNN
2010
234views Management» more  TNN 2010»
13 years 2 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
CCE
2011
13 years 2 months ago
Computational energy-based redesign of robust proteins
The robustness of a system is a property that pervades all aspects of Nature. The ability of a system to adapt itself to perturbations due to internal and external agents, to agin...
Giovanni Stracquadanio, Giuseppe Nicosia
BMCBI
2011
12 years 11 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
ICDE
2011
IEEE
274views Database» more  ICDE 2011»
12 years 11 months ago
Collaborative caching for spatial queries in Mobile P2P Networks
Abstract—We propose a novel collaborative caching framework to support spatial query processing in Mobile Peer-toPeer Networks (MP2PNs). To maximize cache sharing among clients, ...
Qijun Zhu, Dik Lun Lee, Wang-Chien Lee
CADE
2011
Springer
12 years 7 months ago
Experimenting with Deduction Modulo
Deduction modulo is a generic framework to describe proofs in a theory better than using raw axioms. This is done by presenting the theory through rules rewriting terms and proposi...
Guillaume Burel