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TNN
2010
234views Management» more  TNN 2010»
13 years 14 days 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 8 days 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 9 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 9 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 5 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