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BMCBI
2008
93views more  BMCBI 2008»
13 years 8 months ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt
JUCS
2008
99views more  JUCS 2008»
13 years 8 months ago
A Normal Copula Model for the Economic Risk Analysis of Correlated Failures in Communications Networks
: The reliability of a communications network is often evaluated without taking into account the economic consequence of failures. Here a new approach is proposed to assess the eco...
Maurizio Naldi, Giuseppe D'Acquisto
PR
2006
89views more  PR 2006»
13 years 8 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis
MP
2007
75views more  MP 2007»
13 years 8 months ago
Solving maximum-entropy sampling problems using factored masks
We present a practical approach to Anstreicher and Lee’s masked spectral bound for maximum-entropy sampling, and we describe favorable results that we have obtained with a Branch...
Samuel Burer, Jon Lee
SAC
2008
ACM
13 years 8 months ago
Adaptive importance sampling in general mixture classes
In this paper, we propose an adaptive algorithm that iteratively updates both the weights and component parameters of a mixture importance sampling density so as to optimise the p...
Olivier Cappé, Randal Douc, Arnaud Guillin,...