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IJAR
2010
106views more  IJAR 2010»
13 years 7 months ago
A minimum distance estimator in an imprecise probability model - Computational aspects and applications
The present article considers estimating a parameter θ in an imprecise probability model (Pθ)θ∈Θ which consists of coherent upper previsions Pθ . After the definition of a...
Robert Hable
TASLP
2011
13 years 3 months ago
Time-Frequency Cepstral Features and Heteroscedastic Linear Discriminant Analysis for Language Recognition
Abstract—The shifted delta cepstrum (SDC) is a widely used feature extraction for language recognition (LRE). With a high context width due to incorporation of multiple frames, S...
Weiqiang Zhang, Liang He, Yan Deng, Jia Liu, M. T....
SARA
2009
Springer
14 years 3 months ago
Some Interval Approximation Techniques for MINLP
MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme c...
Nicolas Berger, Laurent Granvilliers
GLOBECOM
2007
IEEE
14 years 3 months ago
Path Diversity in Packet Switched Networks: Performance Analysis and Rate Allocation
—Path diversity works by setting up multiple parallel connections between the end points using the topological path redundancy of the network. In this paper, Forward Error Correc...
Shervan Fashandi, Shahab Oveis Gharan, Amir K. Kha...
BMCBI
2007
172views more  BMCBI 2007»
13 years 9 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...