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Probabilistic turing machine

💡 Words with a Similar Meaning to "Probabilistic turing machine"

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WordDefinition
nondeterministic turing machinenoun(computer science) A variant of a Turing machine whose governing rules may specify more than one possible action for any given combination of the state of the machine and symbol being read.
quantum turing machineA quantum Turing machine or universal quantum computer is an abstract machine used to model the effects of a quantum computer.
nondeterministic programmingA nondeterministic programming language is a language which can specify, at certain points in the program (called "choice points"), various alternatives for program flow.
random binary treeIn computer science and probability theory, a random binary tree is a binary tree selected at random from some probability distribution on binary trees.
model of computationIn computer science, and more specifically in computability theory and computational complexity theory, a model of computation is a model which describes how an output of a mathematical function is computed given an input.
probabilistic classificationIn machine learning, a probabilistic classifier is a classifier that is able to predict, given an observation of an input, a probability distribution over a set of classes, rather than only outputting the most likely class that the observation should belong to.
theory of computationIn theoretical computer science and mathematics, the theory of computation is the branch that deals with what problems can be solved on a model of computation, using an algorithm, how efficiently they can be solved or to what degree (e.g., approximate solutions versus precise ones).
probability distributionnoun(statistics) A distribution of all possible values of a random variable together with an indication of their probabilities.
quantum finite automatonIn quantum computing, quantum finite automata or quantum state machines are a quantum analog of probabilistic automata or a Markov decision process.
branching processnoun(mathematics, probability theory) A stochastic process which typically models reproduction of objects, with the assumption that the reproductions of individual particles are mutually independent.
markov chainnoun(probability theory) A discrete-time stochastic process containing a Markov property.
nexptimenoun(computer science) In computational complexity theory, a complexity class in which the set of decision problems can be solved by a nondeterministic Turing machine using time 2^(nᴼ⁽¹⁾).
restricted boltzmann machineA restricted Boltzmann machine (also called a restricted Sherrington–Kirkpatrick model with external field or restricted stochastic Ising–Lenz–Little model) is a generative stochastic artificial neural network that can learn a probability distribution over its set of inputs.
probabilistic programminga programming paradigm in which probabilistic models are specified and inference for these models is performed automatically.
algorithmic probabilityIn algorithmic information theory, algorithmic probability, also known as Solomonoff probability, is a mathematical method of assigning a prior probability to a given observation.
turing jumpnoun(computing theory) In computability theory, an operation that assigns to each decision problem X a successively harder decision problem X′ with the property that X′ is not decidable by an oracle machine with an oracle for X.
quantum statenoun(quantum mechanics) Any of the possible states of a quantum mechanical system.
nspaceIn computational complexity theory, non-deterministic space or NSPACE is the computational resource describing the memory space for a non-deterministic Turing machine.
state-transition tableIn automata theory and sequential logic, a state-transition table is a table showing what state (or states in the case of a nondeterministic finite automaton) a finite-state machine will move to, based on the current state and other inputs.
stochastic simulationA stochastic simulation is a simulation of a system that has variables that can change stochastically (randomly) with individual probabilities.

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