Markov number — The first levels of the Markov number tree A Markov number or Markoff number is a positive integer x, y or z that is part of a solution to the Markov Diophantine equation studied by Andrey Markoff (1879 … Wikipedia
Markov random field — A Markov random field, Markov network or undirected graphical model is a set of variables having a Markov property described by an undirected graph. A Markov random field is similar to a Bayesian network in its representation of dependencies. It… … Wikipedia
Prediction 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.… … Wikipedia
Context tree weighting — The context tree weighting method (CTW) is a lossless compression and prediction algorithm by Willems, Shtarkov, and Tjalkens (1995) . The CTW algorithm is among the very few such algorithms that offer both theoretical guarantees and good… … Wikipedia
Decision tree — This article is about decision trees in decision analysis. For the use of the term in machine learning, see Decision tree learning. A decision tree is a decision support tool that uses a tree like graph or model of decisions and their possible… … Wikipedia
Context tree weighting — CTW (англ. Context Tree Weighting взвешивание контекстного дерева) алгоритм предсказания и сжатия без потерь, созданный Willems, Shtarkov, and Tjalkens (1995), «» . CTW является одним из немногих алгоритмов, которые обеспечивают… … Википедия
Lempel-Ziv-Markov chain algorithm — The Lempel Ziv Markov chain Algorithm (LZMA) is an algorithm used to perform data compression. It has been under development since 1998 [The SDK history file states that it was in development from 1996, and first used in 7 zip 2001 08 30. Aside… … Wikipedia
Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… … Wikipedia
Multiple sequence alignment — A multiple sequence alignment (MSA) is a sequence alignment of three or more biological sequences, generally protein, DNA, or RNA. In many cases, the input set of query sequences are assumed to have an evolutionary relationship by which they… … Wikipedia
Models of DNA evolution — A number of different Markov models of DNA sequence evolution have been proposed. These substitution models differ in terms of the parameters used to describe the rates at which one nucleotide replaces another during evolution. These models are… … Wikipedia