Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example … Wikipedia
Dynamic Bayesian network — A dynamic Bayesian network is a Bayesian network that represents sequences of variables. These sequences are often time series (for example, in speech recognition) or sequences of symbols (for example, protein sequences). The hidden Markov model… … Wikipedia
Variable-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… … Wikipedia
Confabulation (neural networks) — A confabulation, also known as a false, degraded, or corrupted memory, is a stable pattern of activation in a neural network or neural assembly that does not correspond to any previously learned patterns. The same term is also applied to the… … Wikipedia
Venn-networks — are artificial neural network architectures are new work in Artificial Intelligence.HistoryVenn networks were proposed by Fernando Buarque during his PhD under supervision of Philippe De Wilde at Imperial College London – University of London –… … Wikipedia
Байесовская сеть — (или Байесова сеть, Байесовская сеть доверия) это графическая вероятностная модель, представляющая собой множество переменных и их вероятностных зависимостей. Например, байесовская сеть может быть использована для вычисления вероятности… … Википедия
Байесовская сеть доверия — Байесовская сеть (или Байесовская сеть доверия) это вероятностная модель, представляющая собой множество переменных и их вероятностных зависимостей. Например, байесовская сеть может быть использована для вычисления вероятности того, чем болен… … Википедия
Biological network inference — Many types of biological networks exist. Few such networks are known in anything approaching their complete structure, even in the simplest bacteria. Still less is known on the parameters governing the behavior of such networks over time, how the … Wikipedia
Artificial intelligence — AI redirects here. For other uses, see Ai. For other uses, see Artificial intelligence (disambiguation). TOPIO, a humanoid robot, played table tennis at Tokyo International Robot Exhibition (IREX) 2009.[1] Artificial intelligence ( … Wikipedia
Graphical model — In probability theory, statistics, and machine learning, a graphical model (GM) is a graph that represents independencies among random variables by a graph in which each node is a random variable, and the missing edges between the nodes represent … Wikipedia
Hierarchical Temporal Memory — (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex using an approach somewhat similar to Bayesian networks. HTM model is… … Wikipedia
