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ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 3 months ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...
IADIS
2003
13 years 11 months ago
Using Combined Markov Chains to Predict WWW Navigation Paths
The Internet network provides access to several hundreds of million sites and expands at a rate of a million pages a day. Yet, given the rapid and anarchical nature of its evoluti...
Y. Hafri
ECAI
2004
Springer
14 years 3 months ago
Generating Random Bayesian Networks with Constraints on Induced Width
We present algorithms for the generation of uniformly distributed Bayesian networks with constraints on induced width. The algorithms use ergodic Markov chains to generate samples....
Jaime Shinsuke Ide, Fabio Gagliardi Cozman, Fabio ...
PR
2011
13 years 4 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
CORR
2008
Springer
88views Education» more  CORR 2008»
13 years 10 months ago
Lower bounds for distributed markov chain problems
We study the worst-case communication complexity of distributed algorithms computing a path problem based on stationary distributions of random walks in a network G with the caveat...
Rahul Sami, Andy Twigg