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Vocabulary of natural language processing (POC)

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Concept information

... > NLP methods and tools > artificial intelligence > machine learning > machine learning model > neural networks model > Boltzmann machine > restricted Boltzmann machine
... > NLP methods and tools > artificial intelligence > machine learning > machine learning model > generative model > Boltzmann machine > restricted Boltzmann machine
... > NLP methods and tools > model > statistical model > generative model > Boltzmann machine > restricted Boltzmann machine
... > NLP methods and tools > statistics > statistical model > generative model > Boltzmann machine > restricted Boltzmann machine

Preferred term

restricted Boltzmann machine  

Definition

  • A generative probabilistic neural network where the pair interactions are restricted to be between an observed set of units and an unobserved set of units. RBMs have been applied widely, for example, in dimensionality reduction, classification, feature learning, pattern recognition, and topic modeling. (Adapted from Oh et al., Entropy, Free Energy, and Work of Restricted Boltzmann Machines, 2020, and Montufar, Restricted Boltzmann Machines: Introduction and Review, 2018)

Broader concept

Synonym(s)

  • RBM

In other languages

URI

http://data.loterre.fr/ark:/67375/8LP-FQSNR59N-7

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