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ISCI
2008
83views more  ISCI 2008»
13 years 10 months ago
A diversity maintaining population-based incremental learning algorithm
In this paper we propose a new probability update rule and sampling procedure for population-based incremental learning. These proposed methods are based on the concept of opposit...
Mario Ventresca, Hamid R. Tizhoosh
JAR
2008
88views more  JAR 2008»
13 years 10 months ago
Using Theorem Proving to Verify Expectation and Variance for Discrete Random Variables
Statistical quantities, such as expectation (mean) and variance, play a vital role in the present age probabilistic analysis. In this paper, we present some formalization of expect...
Osman Hasan, Sofiène Tahar
CPHYSICS
2007
86views more  CPHYSICS 2007»
13 years 10 months ago
Are polymer melts "ideal"
It is commonly accepted that in concentrated solutions or melts high-molecular weight polymers display randomwalk conformational properties without long-range correlations between...
Joachim Paul Jakob Wittmer, Philippe Beckrich, F. ...
CSL
2007
Springer
13 years 10 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
JNW
2006
88views more  JNW 2006»
13 years 10 months ago
A Genetic Algorithms Based Approach for Group Multicast Routing
Whereas multicast transmission in one-to-many communications allows the operator to drastically save network resources, it also makes the routing of the traffic flows more complex ...
Luca Sanna Randaccio, Luigi Atzori