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ICIP
1995
IEEE
16 years 1 months ago
Variable resolution Markov modelling of signal data for image compression
Traditionally, Markov models have not been successfully used for compression of signal data other than binary image data. Due to the fact that exact substring matches in non-binar...
Mark Trumbo, Jacques Vaisey
BMCBI
2005
86views more  BMCBI 2005»
14 years 11 months ago
Generalizations of Markov model to characterize biological sequences
Background: The currently used kth order Markov models estimate the probability of generating a single nucleotide conditional upon the immediately preceding (gap = 0) k units. How...
Junwen Wang, Sridhar Hannenhalli
ICARIS
2005
Springer
15 years 5 months ago
A Markov Chain Model of the B-Cell Algorithm
An exact Markov chain model of the B-cell algorithm (BCA) is constructed via a novel possible transit method. The model is used to formulate a proof that the BCA is convergent abso...
Edward Clark, Andrew Hone, Jon Timmis
UAI
2008
15 years 1 months ago
Learning Hidden Markov Models for Regression using Path Aggregation
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
Keith Noto, Mark Craven
WSC
2004
15 years 1 months ago
Risk and Information in the Estimation of Hidden Markov Models
In this paper, we consider the relationship between risksensitivity and information. Product estimators are introduced as a generalization of Maximum A Posteriori Probability (MAP...
Vahid Reza Ramezani, Steven I. Marcus, Michael C. ...