- machine-inference model
- модель обслуживания станков
The English-Russian dictionary on reliability and quality control. 2015.
machine-inference model
Смотреть что такое "machine-inference model" в других словарях:
Inference engine — In computer science, and specifically the branches of knowledge engineering and artificial intelligence, an inference engine is a computer program that tries to derive answers from a knowledge base. It is the brain that expert systems use to… … Wikipedia
Machine Learning — Maschinelles Lernen ist ein Oberbegriff für die „künstliche“ Generierung von Wissen aus Erfahrung: Ein künstliches System lernt aus Beispielen und kann nach Beendigung der Lernphase verallgemeinern. Das heißt, es lernt nicht einfach die Beispiele … Deutsch Wikipedia
Machine vision glossary — Common definitions related to the machine vision field.Compiled for application on the Society of Manufacturing Engineers interest area.General related fields *Machine vision *Computer vision *Image processing *Signal processing NOTOC 0 9*1394.… … Wikipedia
Boltzmann machine — A Boltzmann machine is the name given to a type of stochastic recurrent neural network by Geoffrey Hinton and Terry Sejnowski. Boltzmann machines can be seen as the stochastic, generative counterpart of Hopfield nets. They were one of the first… … Wikipedia
Mixture model — See also: Mixture distribution In statistics, a mixture model is a probabilistic model for representing the presence of sub populations within an overall population, without requiring that an observed data set should identify the sub population… … Wikipedia
Transduction (machine learning) — In logic, statistical inference, and supervised learning,transduction or transductive inference is reasoning fromobserved, specific (training) cases to specific (test) cases. In contrast, induction is reasoning from observed training casesto… … Wikipedia
Hidden Markov model — Probabilistic parameters of a hidden Markov model (example) x mdash; states y mdash; possible observations a mdash; state transition probabilities b mdash; output probabilitiesA hidden Markov model (HMM) is a statistical model in which the system … Wikipedia
Support vector machine — Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. Viewing input data as two sets of vectors in an n dimensional space, an SVM will construct a separating hyperplane in that… … Wikipedia
Learnable Evolution Model — The Learnable Evolution Model (LEM) is a novel, non Darwinian methodology for evolutionary computation that employs machine learning to guide the generation of new individuals (candidate problem solutions). Unlike standard, Darwinian type… … Wikipedia
Inductive inference — This article is about the mathematical concept, for inductive inference in logic, see Inductive reasoning. Around 1960, Ray Solomonoff founded the theory of universal inductive inference, the theory of prediction based on observations; for… … Wikipedia
Generative model — In statistics, a generative model is a model for randomly generating observed data, typically given some hidden parameters. It specifies a joint probability distribution over observation and label sequences. Generative models are used in machine… … Wikipedia
