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   Articles with "restricted boltzmann" as a keyword



Generative and discriminative infinite restricted Boltzmann machine training

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22908

Abstract: As one of the essential deep learning models, a restricted Boltzmann machine (RBM) is a commonly used generative training model. By adaptively growing the size of the hidden units, infinite RBM (IRBM) is obtained, which… read more here.

Keywords: generative discriminative; training; boltzmann machine; restricted boltzmann ... See more keywords
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Finding a good initial configuration of parameters for restricted Boltzmann machine pre-training

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recommendations! Published in 2017 at "Soft Computing"

DOI: 10.1007/s00500-016-2205-z

Abstract: Restricted Boltzmann machines (RBMs) have been successfully applied in unsupervised learning and image density-based modeling. The aim of the pre-training step for RBMs is to discover an unknown stationary distribution based on the sample data… read more here.

Keywords: good initial; restricted boltzmann; pre training; pre ... See more keywords

A new variant of restricted Boltzmann machine with horizontal connections

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recommendations! Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3460-y

Abstract: Restricted Boltzmann machines (RBMs) are successfully employed to construct deep architectures because their power of expression and the inference is tractable and easy. In this paper, we propose a model named self-connected restricted Boltzmann machine… read more here.

Keywords: horizontal connections; restricted boltzmann; layer; hidden layer ... See more keywords

A novel collaborative filtering algorithm of machine learning by integrating restricted Boltzmann machine and trust information

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recommendations! Published in 2018 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-3509-y

Abstract: With rapidly increasing information on the Internet, it can be more difficult and time consuming to find what one really wants, especially in e-commerce. Systems and methods based on machine learning are emerging to generate… read more here.

Keywords: machine; information; restricted boltzmann; machine learning ... See more keywords
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Discriminative matrix-variate restricted Boltzmann machine classification model

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recommendations! Published in 2021 at "Wireless Networks"

DOI: 10.1007/s11276-019-02234-w

Abstract: Matrix-variate Restricted Boltzmann Machine (MVRBM), a variant of Restricted Boltzmann Machine, has demonstrated excellent capacity of modelling matrix variable. However, MVRBM is still an unsupervised generative model, and is usually used to feature extraction or… read more here.

Keywords: classification; restricted boltzmann; matrix variate; model ... See more keywords

Restricted Boltzmann Machines Implemented by Spin-Orbit Torque Magnetic Tunnel Junctions.

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recommendations! Published in 2024 at "Nano letters"

DOI: 10.1021/acs.nanolett.3c04820

Abstract: Artificial intelligence has surged forward with the advent of generative models, which rely heavily on stochastic computing architectures enhanced by true random number generators with adjustable sampling probabilities. In this study, we develop spin-orbit torque… read more here.

Keywords: orbit torque; magnetic tunnel; tunnel junctions; spin orbit ... See more keywords
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Restricted Boltzmann machines in quantum physics

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recommendations! Published in 2019 at "Nature Physics"

DOI: 10.1038/s41567-019-0545-1

Abstract: A type of stochastic neural network called a restricted Boltzmann machine has been widely used in artificial intelligence applications for decades. They are now finding new life in the simulation of complex wavefunctions in quantum… read more here.

Keywords: restricted boltzmann; quantum physics; machines quantum; physics ... See more keywords

A stochastic photo-responsive memristive neuron for an in-sensor visual system based on a restricted Boltzmann machine.

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recommendations! Published in 2024 at "Nanoscale horizons"

DOI: 10.1039/d4nh00421c

Abstract: In-sensor computing has gained attention as a solution to overcome the von Neumann computing bottlenecks inherent in conventional sensory systems. This attention is due to the ability of sensor elements to directly extract meaningful information… read more here.

Keywords: photo responsive; sensor; boltzmann machine; stochastic photo ... See more keywords

Fine-tuning restricted Boltzmann machines using quaternions and its application for spam detection

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recommendations! Published in 2019 at "IET Networks"

DOI: 10.1049/iet-net.2018.5172

Abstract: Restricted Boltzmann Machines (RBMs) have been used in a number of applications, but only a few works have addressed them in the context of information security. However, such models have their performance severely affected by… read more here.

Keywords: restricted boltzmann; tuning restricted; harmonic search; fine tuning ... See more keywords

Training-free and stochastic magnetic tunnel junction-based restricted Boltzmann machine for Boolean satisfiability problem

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recommendations! Published in 2025 at "Applied Physics Letters"

DOI: 10.1063/5.0240005

Abstract: Traditional processors based on the von Neumann architecture are not efficient when dealing with combinatorial optimization problems, which has led to the proposal of unconventional algorithms and domain-specific computing architectures. Using probabilistic computing to implement… read more here.

Keywords: satisfiability problem; invertible logic; boolean satisfiability; magnetic tunnel ... See more keywords

Identification of drug-side effect association via restricted Boltzmann machines with penalized term

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recommendations! Published in 2022 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbac458

Abstract: In the entire life cycle of drug development, the side effect is one of the major failure factors. Severe side effects of drugs that go undetected until the post-marketing stage leads to around two million… read more here.

Keywords: boltzmann machines; side effect; side; restricted boltzmann ... See more keywords