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Vocabulary of natural language processing (POC)

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... > 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

Término preferido

restricted Boltzmann machine  

Definición

  • 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)

Concepto genérico

Etiquetas alternativas

  • RBM

En otras lenguas

URI

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

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