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IJCNN
2006
IEEE
14 years 2 months ago
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof...
AAECC
2008
Springer
63views Algorithms» more  AAECC 2008»
13 years 9 months ago
Probabilistic algorithms for computing resolvent representations of regular differential ideals
In a previous article [14], we proved the existence of resolvent representations for regular differential ideals. The present paper provides practical algorithms for computing suc...
Thomas Cluzeau, Evelyne Hubert
NIPS
2004
13 years 10 months ago
Probabilistic Computation in Spiking Populations
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...
COGSCI
2010
125views more  COGSCI 2010»
13 years 9 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
ISSAC
2005
Springer
97views Mathematics» more  ISSAC 2005»
14 years 2 months ago
Probabilistic algorithms for computing resultants
Let A and B be two polynomials in   [x,y] and let R = resx(A, B) denote the resultant of A and B taken wrt x. In this paper we modify Collins’ modular algorithm for computing R...
Michael B. Monagan