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» Markov Models for Biogeography-Based Optimization
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CDC
2009
IEEE
140views Control Systems» more  CDC 2009»
13 years 10 months ago
Model reduction, optimal prediction, and the Mori-Zwanzig representation of Markov chains
— Model reduction methods from diverse fields— including control, statistical mechanics and economics—aimed at systems that can be represented by Markov chains, are discusse...
Carolyn L. Beck, Sanjay Lall, Tzuchen Liang, Matth...
ICCS
2003
Springer
13 years 10 months ago
A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets
Geophysics research has been faced with a growing need for automated techniques with which to process large quantities of data. A successful tool must meet a number of requirements...
Robert A. Granat
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
13 years 10 months ago
Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis
Siddhartha Shakya, John A. W. McCall, Deryck F. Br...
CVPR
2007
IEEE
14 years 7 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
ICML
2009
IEEE
14 years 6 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do