... in the values of background variables and these changes in background lead to predictive error This sort of error arises exactly from the failure of non Markovian models to track the set of causal relations upon which the values of response variables depend The result has implications for discussions...
.txt.../philsci-archive.pitt.edu/cgi/export/3021/DC/philsci-archive-3021.txt
[ bibtex ] ... proposed recently to evaluate this distribution Picard s method a uniformisation based method a path exploration method a discretisation approach and a fully Markovian approximation As a result of our study we recommend Picard s method not to be used due to numerical stability problems Furthermore the path...
.txt...eprints.eemcs.utwente.nl/perl/export/2750/bibtex/eemcs-eprint-2750.txt
[ | DUBLIN CORE | ] ...title Review on stochastic comparison relations creator Schivo Stefano subject QA076 7 Programming Languages Semantics description The report offers an overview of some stochastic simulation and bisimulation relations based on continuous time Markov chains and on stochastic possibly Markovian...
.txt...ts.biblio.unitn.it/cgi/export/eprint/1452/DC/research-eprint-1452.txt
[ | DUBLIN CORE | ] ...title Review on stochastic comparison relations creator Schivo Stefano subject QA076 7 Programming Languages Semantics description The report offers an overview of some stochastic simulation and bisimulation relations based on continuous time Markov chains and on stochastic possibly Markovian...
.txt...iblio.unitn.it/cgi/export/eprint/1452/DC_Ext/research-eprint-1452.txt
[ | OPENURL CONTEXTOBJECT IN SPAN | ] ... relations based on continuous time Markov chains and on stochastic possibly Markovian process algebras rft date 2008 02 rft type Departmental Technical Report rft type NonPeerReviewed rft format application 2Fpdf rft identifier http 3A 2F 2Feprints biblio unitn it 2F1452 2F1 2FDISI 252D08 252D34 pdf rft...
.txt...biblio.unitn.it/cgi/export/eprint/1452/COinS/research-eprint-1452.txt
... extraction In these cases the observations are usually modeled as multinomial distributions over a discrete vocabulary and the HMM parameters are set to maximize the likelihood of the observations This talk will present a new Markovian sequence model closely related to HMMs that allows observations...
.txthttp://www.cs.cmu.edu/~learning/talks-2000/00-03-20.mccallum.txt
... methods produce non Markovian time inhomogeneous stochastic processes we show that bounds can be obtained using ideas of hitting time and conductance from the theory of Markov chains Our bounds suggest and in some cases prove that these adaptive MCMC methods are not able to provide a speed up from slow...
.txthttp://www.utstat.utoronto.ca/WSFiles/woodard.txt
...ieeexplore ieee org ieee image processing image change detection Detection of Object Motion Regions in Aerial Image Pairs With a Multilayer Markovian Model Weakly Supervised Learning of a Classifier for Unusual Event Detection Change Detection in Multisensor SAR Images Using Bivariate Gamma...
.txt.../www.oifii.org/do-org/dod/2009nov25_ieee-ip_image-change-detection.txt
... called delayed path coupling is a refinement of the classical coupling technique and the path coupling technique of Bubley and Dyer and its main novel feature is the use of possible non Markovian coupling...
.txthttp://kutylowski.im.pwr.wroc.pl/articles/rs-a99.txt
... different models of continuous Markovian transition In the cell sorting model the pattern is assumed to be formed by the rearrangement of differentiated cells In the cell differentiation model I assumed that the differentiation of regularly arranged cells is responsible to the pattern formation...
.txthttp://www.math.utah.edu/~owen/mbabs/amochizuki.txt
