This article is about automata that learn. For computational approaches to learn regular automata, see Induction of regular languages.
A learning automaton is one type of machine learning algorithm studied since 1970s. Learning automata select their current action based on past experiences from the environment. It will fall into the range of reinforcement learning if the environment is stochastic and a Markov decision process (MDP) is used.
and 23 Related for: Learning automaton information
A learningautomaton is one type of machine learning algorithm studied since 1970s. Learning automata select their current action based on past experiences...
A cellular automaton (pl. cellular automata, abbrev. CA) is a discrete model of computation studied in automata theory. Cellular automata are also called...
founder of the learningautomaton approach to machine learning. Gelfand–Tsetlin integrable system Boolean differential calculus Learningautomaton Tsetlin machine...
on propositional logic. A Tsetlin machine is a form of learningautomaton collective for learning patterns using propositional logic. Ole-Christoffer Granmo...
Granmo. "Solving Two-Armed Bernoulli Bandit Problems Using a Bayesian LearningAutomaton", International Journal of Intelligent Computing and Cybernetics,...
optimal sample inputs. They give a learning algorithm for residual automata and prove that it learns the automaton from its characteristic sample of positive...
re-write rules or productions or alternatively as a finite state machine or automaton of some kind) from a set of observations, thus constructing a model which...
outline is provided as an overview of and topical guide to machine learning: Machine learning – subfield of soft computing within computer science that evolved...
In machine learning, the perceptron (or McCulloch–Pitts neuron) is an algorithm for supervised learning of binary classifiers. A binary classifier is a...
the learning result. Learning automata is a learning scheme with a rigorous proof of convergence. In learning automata theory, a stochastic automaton consists...
mechanical, wind-up figures called automata. Selznick decided to add an Automaton to the storyline after reading Gaby Wood's 2003 book Edison's Eve, which...
Guo-Zheng; Giles, C. Lee; Chen, Hsing-Hen (1998). "The Neural Network Pushdown Automaton: Architecture, Dynamics and Training". In Giles, C. Lee; Gori, Marco (eds...
four types of grammars, the class of language it generates, the type of automaton that recognizes it, and the form its rules must have. The classes are...
In theoretical computer science and formal language theory, a weighted automaton or weighted finite-state machine is a generalization of a finite-state...
)} indicating the probability of the automaton being in an accept state; that is, indicating whether the automaton accepted or rejected the string. The...
agents into: reactive agent – A reactive agent is not much more than an automaton that receives input, processes it and produces an output. deliberative...
regular language can be defined as a language recognised by a finite automaton. The equivalence of regular expressions and finite automata is known as...
Animation World Network. December 27, 2018. Retrieved January 13, 2024. "'Automaton' Pixar's Next Co-Op Short Film Premiering at SIGGRAPH 2020". Pixar Post...
music. The tradition of creative automatons has flourished throughout history, exemplified by Maillardet's automaton created in the early 1800s. Artificial...
the early 20th century dystopian view of AI in fiction the "animated automaton", naming as examples the 1931 film Frankenstein, the 1927 Metropolis,...
(Kyūjitai: 蘭學/Shinjitai: 蘭学, literally "Dutch learning"), and by extension Yōgaku (Japanese: 洋学, "Western learning"), is a body of knowledge developed by Japan...
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. It is considered to be a part of the ongoing artificial...
Global Information