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
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
Personalized prediction of genes with tumor-causing somatic mutations based on multi-modal deep Boltzmann machine
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.096
Abstract: Abstract When diagnosed at an advanced stage, most cancer patients suffer from treatment failure, recurrences and low survival. Taking advantage of high-throughput sequencing and deep learning techniques, we developed an early cancer monitoring method based… read more here.
Keywords: modal deep; somatic mutations; multi modal; based multi ... 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
AdS/CFT correspondence as a deep Boltzmann machine
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.99.106017
Abstract: We provide a deep Boltzmann machine (DBM) for the AdS/CFT correspondence. Under the philosophy that the bulk spacetime is a neural network, we give a dictionary between those, and obtain a restricted DBM as a… read more here.
Keywords: boltzmann machine; deep boltzmann; cft correspondence; ads cft ... See more keywords
Voltage-Controlled Spintronic Stochastic Neuron for Restricted Boltzmann Machine With Weight Sparsity
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Electron Device Letters"
DOI: 10.1109/led.2020.2995874
Abstract: This work proposes a novel three-terminal magnetic tunnel junction (MTJ) as a stochastic neuron. The neuron is probabilistically switched based on the voltage-controlled magnetic anisotropy (VCMA) effect with the assistance of Rashba effective field. We… read more here.
Keywords: restricted boltzmann; voltage controlled; stochastic neuron; boltzmann machine ... See more keywords
A Fuzzy Restricted Boltzmann Machine: Novel Learning Algorithms Based on the Crisp Possibilistic Mean Value of Fuzzy Numbers
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2016.2639064
Abstract: A fuzzy restricted Boltzmann machine (FRBM) is extended from a restricted Boltzmann machine (RBM) by replacing all the real-valued parameters with fuzzy numbers. A new FRBM that employs the crisp possibilistic mean value of a… read more here.
Keywords: fuzzy restricted; fuzzy numbers; restricted boltzmann; boltzmann machine ... See more keywords
Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3253821
Abstract: The Electroencephalogram (EEG) pattern of seizure activities is highly individual-dependent and requires experienced specialists to annotate seizure events. It is clinically time-consuming and error-prone to identify seizure activities by visually scanning EEG signals. Since EEG… read more here.
Keywords: seizure; deep boltzmann; feature; boltzmann machine ... See more keywords
A complete restricted Boltzmann machine on an adiabatic quantum computer
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Quantum Information"
DOI: 10.1142/s0219749921410033
Abstract: Boltzmann Machines constitute a paramount class of neural networks for unsupervised learning and recommendation systems. Their bipartite version, called Restricted Boltzmann Machine (RBM), is the most developed because of its satisfactory trade-off between computability on… read more here.
Keywords: machine; quantum; restricted boltzmann; complete restricted ... See more keywords