Dynamic Markov compression (DMC) is a lossless data compression algorithm developed by Gordon Cormack and Nigel Horspool. It uses predictive arithmetic... 8 KB (1,116 words) - 11:56, 7 November 2022 |
Andrey Markov, an influential Russian mathematician. Chebyshev–Markov–Stieltjes inequalities Dynamics of Markovian particles Dynamic Markov compression Gauss–Markov... 2 KB (227 words) - 18:36, 20 March 2022 |
A Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on... 103 KB (13,271 words) - 02:20, 13 May 2024 |
on digital media servers Discrete memoryless channel Dynamic Markov Compression algorithm Dynamic Mesh Communication, a mesh-based intercom system developed... 3 KB (341 words) - 11:28, 3 May 2024 |
List of algorithms (redirect from List of lossless compression algorithms) compression Context tree weighting Delta encoding: aid to compression of data in which sequential data occurs frequently Dynamic Markov compression:... 71 KB (7,843 words) - 02:36, 27 April 2024 |
The Lempel–Ziv–Markov chain algorithm (LZMA) is an algorithm used to perform lossless data compression. It has been under development since either 1996... 48 KB (6,152 words) - 12:10, 4 April 2024 |
A partially observable Markov decision process (POMDP) is a generalization of a Markov decision process (MDP). A POMDP models an agent decision process... 22 KB (3,305 words) - 17:48, 27 January 2024 |
algorithms Lempel-Ziv compression (LZ77 and LZ78) – Dictionary-based algorithm that forms the basis for many other algorithms Lempel–Ziv–Markov chain algorithm... 35 KB (4,230 words) - 07:42, 30 April 2024 |
Reinforcement learning (category Markov models) stated in the form of a Markov decision process (MDP), because many reinforcement learning algorithms for this context use dynamic programming techniques... 55 KB (6,582 words) - 12:51, 15 April 2024 |
Outline of machine learning (category Dynamic lists) model Dual-phase evolution Dunn index Dynamic Bayesian network Dynamic Markov compression Dynamic topic model Dynamic unobserved effects model EDLUT ELKI... 41 KB (3,582 words) - 07:21, 22 April 2024 |