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The high-order Boltzmann machine: learned distribution and topology | IEEE Journals & Magazine | IEEE Xplore

The high-order Boltzmann machine: learned distribution and topology


Abstract:

In this paper we give a formal definition of the high-order Boltzmann machine (BM), and extend the well-known results on the convergence of the learning algorithm of the ...Show More

Abstract:

In this paper we give a formal definition of the high-order Boltzmann machine (BM), and extend the well-known results on the convergence of the learning algorithm of the two-order BM. From the Bahadur-Lazarsfeld expansion we characterize the probability distribution learned by the high order BM. Likewise a criterion is given to establish the topology of the BM depending on the significant correlations of the particular probability distribution to be learned.<>
Published in: IEEE Transactions on Neural Networks ( Volume: 6, Issue: 3, May 1995)
Page(s): 767 - 770
Date of Publication: 31 May 1995

ISSN Information:

PubMed ID: 18263362

References

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