- stochastic machine
- мат. стохастическая машина
Большой англо-русский и русско-английский словарь. 2001.
stochastic machine
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Stochastic gradient descent — is a general optimization algorithm, but is typically used to fit the parameters of a machine learning model.In standard (or batch ) gradient descent, the true gradient is used to update the parameters of the model. The true gradient is usually… … Wikipedia
Stochastic optimization — (SO) methods are optimization algorithms which incorporate probabilistic (random) elements, either in the problem data (the objective function, the constraints, etc.), or in the algorithm itself (through random parameter values, random choices,… … Wikipedia
Stochastic cooling — is a form of particle beam cooling. It is used in some particle accelerators and storage rings to control the emittance of the particle beams in the machine. This process uses the electrical signals that the individual charged particles generate… … Wikipedia
Stochastic neural network — Stochastic neural networks are a type of artificial neural networks, which is a tool of artificial intelligence. They are built by introducing random variations into the network, either by giving the network s neurons stochastic transfer… … Wikipedia
Stochastic grammar — A stochastic grammar (statistical grammar) is a grammar framework with a probabilistic notion of grammaticality: *Stochastic context free grammar *Statistical parsing *Data oriented parsing *Hidden Markov model *Estimation theoryStatistical… … Wikipedia
Stochastic context-free grammar — A stochastic context free grammar (SCFG; also probabilistic context free grammar, PCFG) is a context free grammar in which each production is augmented with a probability. The probability of a derivation (parse) is then the product of the… … 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
Probabilistic Turing machine — Turing machine(s) Machina Universal Turing machine Alternating Turing machine Quantum Turing machine Read only Turing machine Read only right moving Turing Machines Probabilistic Turing machine Multi track Turing machine Turing machine… … Wikipedia
Helmholtz machine — The Helmholtz machine is a name used by Geoff Hinton to describe a class of neural networks which learn the hidden structure of a set of data by being trained to create a generative model which can produce the original set of data. The hope is… … Wikipedia
Ant colony optimization algorithms — Ant behavior was the inspiration for the metaheuristic optimization technique. In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be… … Wikipedia
List of mathematics articles (S) — NOTOC S S duality S matrix S plane S transform S unit S.O.S. Mathematics SA subgroup Saccheri quadrilateral Sacks spiral Sacred geometry Saddle node bifurcation Saddle point Saddle surface Sadleirian Professor of Pure Mathematics Safe prime Safe… … Wikipedia
