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ICANN
2010
Springer
13 years 9 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
ENTCS
2007
96views more  ENTCS 2007»
13 years 8 months ago
An Observational Theory for Mobile Ad Hoc Networks
We propose a process calculus to study the behavioural theory of Mobile Ad Hoc Networks. The operational semantics of our calculus is given both in terms of a Reduction Semantics ...
Massimo Merro
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
14 years 13 days ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
AINA
2010
IEEE
14 years 1 months ago
Active Data Selection for Sensor Networks with Faults and Changepoints
Abstract—We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active d...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...
NDSS
2000
IEEE
14 years 1 months ago
Analysis of a Fair Exchange Protocol
We analyze an optimistic contract signing protocol of Asokan, Shoup, and Waidner as a case study in the applicability of formal methods to verification of fair exchange protocols...
Vitaly Shmatikov, John C. Mitchell