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ECML
2006
Springer
15 years 1 months ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
EEF
2000
15 years 1 months ago
Process Algebra and Markov Chains
This paper surveys and relates the basic concepts of process algebra and the modelling of continuous time Markov chains. It provides
Ed Brinksma, Holger Hermanns
RECOMB
2003
Springer
15 years 10 months ago
Combining phylogenetic and hidden Markov models in biosequence analysis
A few models have appeared in recent years that consider not only the way substitutions occur through evolutionary history at each site of a genome, but also the way the process c...
Adam C. Siepel, David Haussler
CORR
2010
Springer
210views Education» more  CORR 2010»
14 years 4 months ago
Classification with Scattering Operators
A scattering vector is a local descriptor including multiscale and multi-direction co-occurrence information. It is computed with a cascade of wavelet decompositions and complex m...
Joan Bruna, Stéphane Mallat
ICANN
2009
Springer
15 years 2 months ago
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
Matthias Höffken, Daniel Oberhoff, Marina Kol...