restricted Boltzmann machine
Boltzmann machine whose neurons form a bipartite graph with visible and hidden neurons
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restricted Boltzmann machine
Summary
restricted Boltzmann machine draws 347 Wikipedia views per month (ai category, ranking #60 of 200).[1]
Key Facts
- restricted Boltzmann machine is credited with the discovery of Paul Smolensky[2].
- restricted Boltzmann machine is credited with the discovery of Geoffrey Hinton[3].
- restricted Boltzmann machine is a type of stochastic neural network[4].
- restricted Boltzmann machine is a type of Boltzmann machine[5].
- restricted Boltzmann machine's time of discovery or invention is recorded as 1986[6].
- restricted Boltzmann machine's Stack Exchange tag is recorded as https://stackoverflow.com/tags/rbm[7].
- restricted Boltzmann machine's Stack Exchange tag is recorded as https://ai.stackexchange.com/tags/restricted-boltzmann-machine[8].
- restricted Boltzmann machine's short name is recorded as {'lang': 'en', 'text': 'RBM'}[9].
- restricted Boltzmann machine's uses is recorded as complete bipartite graph[10].
Body
Works and Contributions
Credited discoveries include Paul Smolensky[2], a linguist[11], b. 1955[12], of United States[13], awarded the Guggenheim Fellowship[14], specialised in optimality theory[15] and Geoffrey Hinton[3], a computer scientist[16], b. 1947[17], of United Kingdom[18], awarded the Fellow of the Royal Society[19], specialised in deep learning[20].
Why It Matters
restricted Boltzmann machine draws 347 Wikipedia views per month (ai category, ranking #60 of 200).[1] It has Wikipedia articles in 10 language editions, a strong signal of global cultural recognition.[21] It is known by 5 alternative names across languages and contexts.[22]