Results 121 to 130 of about 33,716 (166)
Some of the next articles are maybe not open access.
Computer Graphics and Image Processing, 1980
Publisher Summary This chapter reviews the Markov Mesh models as originally given in the works of Abend, Harley, and Kanal. It also presents some inputs on some related references and developments of Markov Random Fields (MRF) models. The Markov Mesh models presented in the works of these authors sought to incorporate spatial dependence in reducing ...
openaire +1 more source
Publisher Summary This chapter reviews the Markov Mesh models as originally given in the works of Abend, Harley, and Kanal. It also presents some inputs on some related references and developments of Markov Random Fields (MRF) models. The Markov Mesh models presented in the works of these authors sought to incorporate spatial dependence in reducing ...
openaire +1 more source
Canadian Journal of Statistics, 1975
AbstractFor the general linear model Y = X$sZ + e in which e has a singular dispersion matrix $sG2A, $sG > 0, where A is n x n and singular, Mitra [2] considers the problem of testing F$sZ, where F is a known q x q matrix and claims that the sum of squares (SS) due to hypothesis is not distributed (as a x2 variate with degrees of freedom (d.
openaire +2 more sources
AbstractFor the general linear model Y = X$sZ + e in which e has a singular dispersion matrix $sG2A, $sG > 0, where A is n x n and singular, Mitra [2] considers the problem of testing F$sZ, where F is a known q x q matrix and claims that the sum of squares (SS) due to hypothesis is not distributed (as a x2 variate with degrees of freedom (d.
openaire +2 more sources
2014
When accurately estimated and validated, Markov model transition matrices contain information of the long-time molecular kinetics and thermodynamic properties of the molecular system studied, approximated on the discrete state space. Thus, many quantities of interest to the molecular scientist can now be calculated from the Markov model transition ...
Frank Noé, Jan-Hendrik Prinz
openaire +2 more sources
When accurately estimated and validated, Markov model transition matrices contain information of the long-time molecular kinetics and thermodynamic properties of the molecular system studied, approximated on the discrete state space. Thus, many quantities of interest to the molecular scientist can now be calculated from the Markov model transition ...
Frank Noé, Jan-Hendrik Prinz
openaire +2 more sources
Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
exaly
An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
exaly
Modelling: Markov Chains and Markov Processes
1998Under uncertainty, the construction of models requires that we distinguish known from unknown realities and find some mechanisms (such as constraints, theories, common sense and more often intuition) to reconcile our knowledge with our lack of it. For this reason, modelling is not merely a collection of techniques but an art in blending the relevant ...
openaire +1 more source
Markov Chains and Hidden Markov Models
2017There are many situations where one must work with sequences. Here is a simple, and classical, example. We see a sequence of words, but the last word is missing. I will use the sequence “I had a glass of red wine with my grilled xxxx”. What is the best guess for the missing word?
openaire +1 more source
The biofilm life cycle: expanding the conceptual model of biofilm formation
Nature Reviews Microbiology, 2022Karin Sauer +2 more
exaly