markov-chain
91Aperiodic graph — In the mathematical area of graph theory, a directed graph is said to be aperiodic if there is no integer k > 1 that divides the length of every cycle of the graph. Equivalently, a graph is aperiodic if the greatest common divisor of the lengths… …
92Coupling from the past — Among Markov chain Monte Carlo (MCMC) algorithms, coupling from the past is a method for sampling from the stationary distribution of a Markov chain. Contrary to many MCMC algorithms, coupling from the past gives in principle a perfect sample… …
93Subshift of finite type — In mathematics, subshifts of finite type are used to model dynamical systems, and in particular are the objects of study in symbolic dynamics and ergodic theory. They also describe the set of all possible sequences executed by a finite state… …
94Chapman-Kolmogorov equation — In mathematics, specifically in probability theory, and yet more specifically in the theory of Markovian stochastic processes, the Chapman Kolmogorov equation can be viewed as an identity relating the joint probability distributions of different… …
95Conductance (graph) — For other uses, see Conductance. In graph theory the conductance of a graph G=(V,E) measures how well knit the graph is: it controls how fast a random walk on G converges to a uniform distribution. The conductance of a graph is often called the… …
96Perron–Frobenius theorem — In linear algebra, the Perron–Frobenius theorem, proved by Oskar Perron (1907) and Georg Frobenius (1912), asserts that a real square matrix with positive entries has a unique largest real eigenvalue and that the corresponding… …
97Variable-order Bayesian network — (VOBN) models provide an important extension of both the Bayesian network models and the variable order Markov models. VOBN models are used in machine learning in general and have shown great potential in bioinformatics applications.cite… …
98Prediction Suffix Tree — The concept of the Markov chain of order L, which we essentially owe to the Russianmathematician Andrej Andreevic Markov (1907), has two drawbacks. First, the number ofparameters of the model grows exponentially with the order L of the chain.… …
99Prédiction statistique des résultats de football — La prédiction statistique des résultats de football est une méthode utilisée pour les paris sportifs afin de prédire l issue des matchs de football à l aide d outils statistiques. L objectif de la prédiction statistique match est de battre les… …
100GeneMark — developed in 1993 was the first gene finding method recognized as an efficient and accurate tool for genome projects. GeneMark was used for annotation of the first completely sequenced bacteria, Haemophilus influenzae, and the first completely… …
