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» Parametric Analysis for Ungapped Markov Models of Evolution
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CPM
2005
Springer
125views Combinatorics» more  CPM 2005»
13 years 6 months ago
Parametric Analysis for Ungapped Markov Models of Evolution
We present efficient sensitivity-analysis algorithms for two problems involving Markov models of sequence evolution: ancestral reconstruction in evolutionary trees and local ungap...
David Fernández-Baca, Balaji Venkatachalam
ALMOB
2007
151views more  ALMOB 2007»
13 years 4 months ago
Local sequence alignments statistics: deviations from Gumbel statistics in the rare-event tail
Background: The optimal score for ungapped local alignments of infinitely long random sequences is known to follow a Gumbel extreme value distribution. Less is known about the imp...
Stefan Wolfsheimer, Bernd Burghardt, Alexander K. ...
TSE
2011
134views more  TSE 2011»
12 years 11 months ago
Verifying the Evolution of Probability Distributions Governed by a DTMC
— We propose a new probabilistic temporal logic iLTL which captures properties of systems whose state can be represented by probability mass functions (pmf’s). Using iLTL, we c...
YoungMin Kwon, Gul A. Agha
ICCV
2011
IEEE
12 years 4 months ago
Localized Principal Component Analysis based Curve Evolution: A Divide and Conquer Approach
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divis...
Vikram Appia, Balaji Ganapathy, Tracy Faber, Antho...
AMC
2008
99views more  AMC 2008»
13 years 4 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik