Generative and discriminative infinite restricted Boltzmann machine training
Sign Up to like & getrecommendations! 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
Finding a good initial configuration of parameters for restricted Boltzmann machine pre-training
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Discriminative matrix-variate restricted Boltzmann machine classification model
Sign Up to like & getrecommendations! 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 in quantum physics
Sign Up to like & getrecommendations! 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
Fine-tuning restricted Boltzmann machines using quaternions and its application for spam detection
Sign Up to like & getrecommendations! 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
Identification of drug-side effect association via restricted Boltzmann machines with penalized term
Sign Up to like & getrecommendations! 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
Learnability scaling of quantum states: Restricted Boltzmann machines
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review B"
DOI: 10.1103/physrevb.100.195125
Abstract: Generative modeling with machine learning has provided a new perspective on the data-driven task of reconstructing quantum states from a set of qubit measurements. As increasingly large experimental quantum devices are built in laboratories, the… read more here.
Keywords: quantum states; number; restricted boltzmann; scaling quantum ... See more keywords
Restricted Boltzmann machine learning for solving strongly correlated quantum systems
Sign Up to like & getrecommendations! Published in 2017 at "Physical Review B"
DOI: 10.1103/physrevb.96.205152
Abstract: We develop a machine learning method to construct accurate ground-state wave functions of strongly interacting and entangled quantum spin as well as fermionic models on lattices. A restricted Boltzmann machine algorithm in the form of… read more here.
Keywords: machine; machine learning; restricted boltzmann; learning solving ... See more keywords
Nonequilibrium thermodynamics of restricted Boltzmann machines.
Sign Up to like & getrecommendations! Published in 2017 at "Physical Review E"
DOI: 10.1103/physreve.96.022131
Abstract: In this work, we analyze the nonequilibrium thermodynamics of a class of neural networks known as restricted Boltzmann machines (RBMs) in the context of unsupervised learning. We show how the network is described as a… read more here.
Keywords: restricted boltzmann; thermodynamics restricted; thermodynamics; unsupervised learning ... See more keywords