a Markov information source, or simply, a Markov source, is an information source whose underlying dynamics are given by a stationary finite Markov chain...

method Markov chain geostatistics Markov chain mixing time Markov chain tree theorem Markov decision process Markov information source Markov odometer...

decision process Markov's inequality Markov brothers' inequality Markov information source Markov network Markov number Markov property Markov process Stochastic...

\dots ,X_{n-1},X_{n})}{n+1}}.} Markov information source Asymptotic equipartition property Robert B. Ash, Information Theory, (1965) Dover Publications...

Gauss–Markov theorem Gauss–Markov process Markov blanket Markov boundary Markov chain Markov chain central limit theorem Additive Markov chain Markov additive...

A hidden Markov model (HMM) is a Markov model in which the observations are dependent on a latent (or hidden) Markov process (referred to as X {\displaystyle...

used for feature selection in machine learning. Information source (mathematics) Markov information source Asymptotic equipartition property Maximal entropy...

In probability theory, a Markov model is a stochastic model used to model pseudo-randomly changing systems. It is assumed that future states depend only...

Markov decision process (MDP), also called a stochastic dynamic program or stochastic control problem, is a model for sequential decision making when outcomes...

observed events. This is done especially in the context of Markov information sources and hidden Markov models (HMM). The algorithm has found universal application...

that for the output of Markov information sources, Kolmogorov complexity is related to the entropy of the information source. More precisely, the Kolmogorov...

bioinformatics Margin Markov chain geostatistics Markov chain Monte Carlo (MCMC) Markov information source Markov logic network Markov model Markov random field...

Science and Technology - Volume 14: Very Large Data Base Systems to Zero-Memory and Markov Information Source. Marcel Dekker Inc. ISBN 978-0-8247-2214-2....

Comics. The first Terra, Tara Markov, joins the Teen Titans as a double agent for the supervillain Deathstroke. Markov was created by Marv Wolfman and...

A continuous-time Markov chain (CTMC) is a continuous stochastic process in which, for each state, the process will change state according to an exponential...

common way to define entropy for text is based on the Markov model of text. For an order-0 source (each character is selected independent of the last characters)...

maximum-entropy Markov model (MEMM), or conditional Markov model (CMM), is a graphical model for sequence labeling that combines features of hidden Markov models...

process Markov information source Markov kernel Markov logic network Markov model Markov network Markov process Markov property Markov random field Markov renewal...

computer science, a Markov algorithm is a string rewriting system that uses grammar-like rules to operate on strings of symbols. Markov algorithms have been...

mixtures, Bayesian networks, neural networks, radial basis functions, hidden Markov models, stochastic context-free grammars, reduced rank regressions, Boltzmann...

Markov additive process Markov blanket / Bay Markov chain mixing time / (L:D) Markov decision process Markov information source Markov kernel Markov logic...

of information theory include source coding, algorithmic complexity theory, algorithmic information theory and information-theoretic security. Applications...

Technology: Volume 14 - Very Large Data Base Systems to Zero-Memory and Markov Information Source. CRC Press. pp. 1–18. ISBN 9780824722142. Gerritsen, Rob; Morgan...

is equal to the mutual information, maximized over all input distributions. Discriminative training procedures for hidden Markov models have been proposed...

_{0}\right)} , and because the Kalman filter describes a Markov process, all relevant information from previous observations is contained in the current...

hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is similar to WinBUGS KNIME – An open source analytics platform built...

Archived from the original on January 11, 2023. Retrieved December 30, 2022. Markov, Todor; Zhang, Chong; Agarwal, Sandhini; Eloundou, Tyna; Lee, Teddy; Adler...

exploration–exploitation dilemma. The environment is typically stated in the form of a Markov decision process (MDP), as many reinforcement learning algorithms use dynamic...

"Hidden Markov Map Matching Through Noise and Sparseness". I17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems...

In statistics, the Bayesian information criterion (BIC) or Schwarz information criterion (also SIC, SBC, SBIC) is a criterion for model selection among...