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News/Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines
arxiv
PublishedJune 24, 2026 at 4:00 AM
—neutral

Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines

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Publisher summary· verbatim

arXiv:2605.19178v2 Announce Type: replace-cross Abstract: The great success of neural networks primarily arises from the presence of the large number of weight parameters combined with nonlinearities in the input-output relationship of single neurons. In this work, we study the relationship between

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    Restricted Boltzmann Machines (RBMs)
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#neural-networks#machine-learning#statistical-mechanics

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Mentioned models
01
  • 01
    Restricted Boltzmann Machines (RBMs)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#neural-networks#machine-learning#statistical-mechanics

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