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UAI
2004
15 years 8 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
OPODIS
2003
15 years 8 months ago
Transient Model for Jackson Networks and Its Approximation
Jackson networks have been very successful in so many areas in modeling parallel and distributed systems. However, the ability of Jackson networks to predict performance with syste...
Ahmed M. Mohamed, Lester Lipsky, Reda A. Ammar
GECCO
2008
Springer
257views Optimization» more  GECCO 2008»
15 years 8 months ago
Rapid evaluation and evolution of neural models using graphics card hardware
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
Thomas F. Clayton, Leena N. Patel, Gareth Leng, Al...
COGSCI
2006
75views more  COGSCI 2006»
15 years 7 months ago
A Hierarchical Bayesian Model of Human Decision-Making on an Optimal Stopping Problem
We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told ho...
Michael D. Lee
CSDA
2006
85views more  CSDA 2006»
15 years 7 months ago
Two-way Poisson mixture models for simultaneous document classification and word clustering
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
Jia Li, Hongyuan Zha