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» Decisive Markov Chains
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ICDM
2003
IEEE
118views Data Mining» more  ICDM 2003»
15 years 6 months ago
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains
In this work, we show that Kleinberg’s hubs and authorities model is closely related to both correspondence analysis, a well-known multivariate statistical technique, and a parti...
François Fouss, Marco Saerens, Jean-Michel ...
AUTOMATICA
2010
122views more  AUTOMATICA 2010»
15 years 1 months ago
Bayesian system identification via Markov chain Monte Carlo techniques
The work here explores new numerical methods for supporting a Bayesian approach to parameter estimation of dynamic systems. This is primarily motivated by the goal of providing ac...
Brett Ninness, Soren J. Henriksen
SIAMSC
2010
116views more  SIAMSC 2010»
14 years 11 months ago
Recursively Accelerated Multilevel Aggregation for Markov Chains
A recursive acceleration method is proposed for multiplicative multilevel aggregation algorithms that calculate the stationary probability vector of large, sparse, and irreducible ...
Hans De Sterck, K. Miller, G. Sanders, M. Winlaw
ATVA
2006
Springer
123views Hardware» more  ATVA 2006»
15 years 5 months ago
Symmetry Reduction for Probabilistic Model Checking Using Generic Representatives
Generic representatives have been proposed for the effective combination of symmetry reduction and symbolic representation with BDDs in non-probabilistic model checking. This appro...
Alastair F. Donaldson, Alice Miller
KI
2010
Springer
14 years 11 months ago
Soft Evidential Update via Markov Chain Monte Carlo Inference
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
Dominik Jain, Michael Beetz