Stock Market Bubble Warning: A Restricted Boltzmann Machine Approach Using Volatility–Return Sequences.
- Published in:
- Applied Sciences (2076-3417), 2025, v. 15, n. 10, p. 5613, doi. 10.3390/app15105613
- By:
- Publication type:
- Article
Works matching DE "BOLTZMANN machine"
Results: 490
1
2
Study of deep multimodal information fusion–based digital twin method for gearbox fault diagnosis.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2025, v. 138, n. 7, p. 3529, doi. 10.1007/s00170-025-15673-x
- By:
- Publication type:
- Article
3
Correction: Adversarial concept drift detection under poisoning attacks for robust data stream mining.
- Published in:
- 2024
- By:
- Publication type:
- Correction Notice
4
Adversarial concept drift detection under poisoning attacks for robust data stream mining.
- Published in:
- Machine Learning, 2023, v. 112, n. 10, p. 4013, doi. 10.1007/s10994-022-06177-w
- By:
- Publication type:
- Article
5
The role of mutual information in variational classifiers.
- Published in:
- Machine Learning, 2023, v. 112, n. 9, p. 3105, doi. 10.1007/s10994-023-06337-6
- By:
- Publication type:
- Article
6
On better training the infinite restricted Boltzmann machines.
- Published in:
- Machine Learning, 2018, v. 107, n. 6, p. 943, doi. 10.1007/s10994-018-5696-2
- By:
- Publication type:
- Article
7
The flip-the-state transition operator for restricted Boltzmann machines.
- Published in:
- Machine Learning, 2013, v. 93, n. 1, p. 53, doi. 10.1007/s10994-013-5390-3
- By:
- Publication type:
- Article
8
Centered convolutional deep Boltzmann machine for 2D shape modeling.
- Published in:
- Personal & Ubiquitous Computing, 2022, v. 26, n. 4, p. 913, doi. 10.1007/s00779-020-01487-z
- By:
- Publication type:
- Article
9
Recognition of Cancer Mediating Genes using the Novel Restricted Boltzmann Machines.
- Published in:
- Wireless Personal Communications, 2024, v. 138, n. 4, p. 2275, doi. 10.1007/s11277-024-11600-7
- By:
- Publication type:
- Article
10
Partitioned learning of deep Boltzmann machines for SNP data.
- Published in:
- Bioinformatics, 2017, v. 33, n. 20, p. 3173, doi. 10.1093/bioinformatics/btx408
- By:
- Publication type:
- Article
11
ACE: adaptive cluster expansion for maximum entropy graphical model inference.
- Published in:
- Bioinformatics, 2016, v. 32, n. 20, p. 3089, doi. 10.1093/bioinformatics/btw328
- By:
- Publication type:
- Article
12
Predicting drug-target interactions using restricted Boltzmann machines.
- Published in:
- Bioinformatics, 2013, v. 29, n. 13, p. i126, doi. 10.1093/bioinformatics/btt234
- By:
- Publication type:
- Article
13
基于深度玻尔兹曼机的工业机器人 齿轮箱故障诊断.
- Published in:
- Journal of Ordnance Equipment Engineering, 2023, v. 44, n. 4, p. 163, doi. 10.11809/bqzbgcxb2023.04.023
- By:
- Publication type:
- Article
14
深度生成式故障诊断模型研究.
- Published in:
- Machine Tool & Hydraulics, 2025, v. 53, n. 4, p. 205, doi. 10.3969/j.issn.1001-3881.2025.04.030
- By:
- Publication type:
- Article
15
Experiment Improvement of Restricted Boltzmann Machine Methods for Image Classification.
- Published in:
- Vietnam Journal of Computer Science (World Scientific), 2021, v. 8, n. 3, p. 417, doi. 10.1142/S2196888821500184
- By:
- Publication type:
- Article
16
A Study on Visualizing Feature Extracted from Deep Restricted Boltzmann Machine using PCA.
- Published in:
- International Journal of Computer Information Systems & Industrial Management Applications, 2016, v. 8, p. 67
- By:
- Publication type:
- Article
17
A Spiking Stochastic Neuron Based on Stacked InGaZnO Memristors.
- Published in:
- Advanced Electronic Materials, 2022, v. 8, n. 2, p. 1, doi. 10.1002/aelm.202100918
- By:
- Publication type:
- Article
18
New Functions for Mass Calculation in Gravitational Search Algorithm.
- Published in:
- Journal of Computing & Security, 2015, v. 2, n. 3, p. 233
- By:
- Publication type:
- Article
19
Numerical Investigation on Droplet Impact and Freezing.
- Published in:
- Transactions of Nanjing University of Aeronautics & Astronautics, 2023, v. 40, n. 2, p. 179, doi. 10.16356/j.1005-1120.2023.02.007
- By:
- Publication type:
- Article
20
A primer on the application of neural networks to covering array generation.
- Published in:
- Optimization Methods & Software, 2022, v. 37, n. 3, p. 1165, doi. 10.1080/10556788.2021.1907384
- By:
- Publication type:
- Article
21
Improving Extractive Text Summarization Performance Using Enhanced Feature Based RBM Method.
- Published in:
- Revue d'Intelligence Artificielle, 2022, v. 36, n. 5, p. 777, doi. 10.18280/ria.360516
- By:
- Publication type:
- Article
22
Capsule Networks Showed Excellent Performance in the Classification of hERG Blockers/Nonblockers.
- Published in:
- Frontiers in Pharmacology, 2020, p. 1, doi. 10.3389/fphar.2019.01631
- By:
- Publication type:
- Article
23
Fusion Network Model Based on Broad Learning System for Multidimensional Time‐Series Forecasting.
- Published in:
- International Journal of Intelligent Systems, 2025, v. 2025, p. 1, doi. 10.1155/int/1649220
- By:
- Publication type:
- Article
24
Front Matter.
- Published in:
- Computer Graphics Forum, 2021, v. 40, n. 5, p. i, doi. 10.1111/cgf.14376
- Publication type:
- Article
25
Accident Detection in Autonomous Vehicles Using Modified Restricted Boltzmann Machine.
- Published in:
- Security & Communication Networks, 2022, p. 1, doi. 10.1155/2022/6424835
- By:
- Publication type:
- Article
26
A Systematic Literature Review on Human Ear Biometrics: Approaches, Algorithms, and Trend in the Last Decade.
- Published in:
- Information (2078-2489), 2023, v. 14, n. 3, p. 192, doi. 10.3390/info14030192
- By:
- Publication type:
- Article
27
A Survey of Deep Learning Methods for Cyber Security.
- Published in:
- Information (2078-2489), 2019, v. 10, n. 4, p. 122, doi. 10.3390/info10040122
- By:
- Publication type:
- Article
28
Arabic Handwritten Digit Recognition Based on Restricted Boltzmann Machine and Convolutional Neural Networks.
- Published in:
- Information (2078-2489), 2017, v. 8, n. 4, p. 142, doi. 10.3390/info8040142
- By:
- Publication type:
- Article
29
ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement.
- Published in:
- International Journal of Interactive Multimedia & Artificial Intelligence, 2022, v. 7, n. 4, p. 185, doi. 10.9781/ijimai.2022.03.002
- By:
- Publication type:
- Article
30
Restricted Boltzmann machines for the long range Ising models.
- Published in:
- Modern Physics Letters B, 2016, v. 30, n. 34, p. -1, doi. 10.1142/S0217984916504017
- By:
- Publication type:
- Article
31
Neonatal seizure detection using deep belief networks from multichannel EEG data.
- Published in:
- Neural Computing & Applications, 2023, v. 35, n. 14, p. 10637, doi. 10.1007/s00521-023-08254-0
- By:
- Publication type:
- Article
32
Hybrid deep learning diagonal recurrent neural network controller for nonlinear systems.
- Published in:
- Neural Computing & Applications, 2022, v. 34, n. 24, p. 22367, doi. 10.1007/s00521-022-07673-9
- By:
- Publication type:
- Article
33
Variational restricted Boltzmann machines to automated anomaly detection.
- Published in:
- Neural Computing & Applications, 2022, v. 34, n. 18, p. 15207, doi. 10.1007/s00521-022-07060-4
- By:
- Publication type:
- Article
34
Deep learning controller for nonlinear system based on Lyapunov stability criterion.
- Published in:
- Neural Computing & Applications, 2021, v. 33, n. 5, p. 1515, doi. 10.1007/s00521-020-05077-1
- By:
- Publication type:
- Article
35
Bus travel time prediction based on deep belief network with back-propagation.
- Published in:
- Neural Computing & Applications, 2020, v. 32, n. 14, p. 10435, doi. 10.1007/s00521-019-04579-x
- By:
- Publication type:
- Article
36
Identifying data streams anomalies by evolving spiking restricted Boltzmann machines.
- Published in:
- Neural Computing & Applications, 2020, v. 32, n. 11, p. 6699, doi. 10.1007/s00521-019-04288-5
- By:
- Publication type:
- Article
37
Semi-parametric training of autoencoders with Gaussian kernel smoothed topology learning neural networks.
- Published in:
- Neural Computing & Applications, 2020, v. 32, n. 9, p. 4933, doi. 10.1007/s00521-018-3897-z
- By:
- Publication type:
- Article
38
Probabilistic approaches for music similarity using restricted Boltzmann machines.
- Published in:
- Neural Computing & Applications, 2020, v. 32, n. 8, p. 3999, doi. 10.1007/s00521-019-04106-y
- By:
- Publication type:
- Article
39
Robust spike-and-slab deep Boltzmann machines for face denoising.
- Published in:
- Neural Computing & Applications, 2020, v. 32, n. 7, p. 2815, doi. 10.1007/s00521-018-3866-6
- By:
- Publication type:
- Article
40
A motion classification model with improved robustness through deformation code integration.
- Published in:
- Neural Computing & Applications, 2019, v. 31, n. 12, p. 8519, doi. 10.1007/s00521-018-3681-0
- By:
- Publication type:
- Article
41
Adaptive structure learning method of deep belief network using neuron generation–annihilation and layer generation.
- Published in:
- Neural Computing & Applications, 2019, v. 31, n. 11, p. 8035, doi. 10.1007/s00521-018-3622-y
- By:
- Publication type:
- Article
42
Prediction of electricity consumption in cement production: a time-varying delay deep belief network prediction method.
- Published in:
- Neural Computing & Applications, 2019, v. 31, n. 11, p. 7165, doi. 10.1007/s00521-018-3540-z
- By:
- Publication type:
- Article
43
A new variant of restricted Boltzmann machine with horizontal connections.
- Published in:
- Neural Computing & Applications, 2019, v. 31, n. 10, p. 6521, doi. 10.1007/s00521-018-3460-y
- By:
- Publication type:
- Article
44
A novel collaborative filtering algorithm of machine learning by integrating restricted Boltzmann machine and trust information.
- Published in:
- Neural Computing & Applications, 2019, v. 31, n. 9, p. 4685, doi. 10.1007/s00521-018-3509-y
- By:
- Publication type:
- Article
45
A fast pseudo-stochastic sequential cipher generator based on RBMs.
- Published in:
- Neural Computing & Applications, 2018, v. 30, n. 4, p. 1277, doi. 10.1007/s00521-016-2753-2
- By:
- Publication type:
- Article
46
Classification model of restricted Boltzmann machine based on reconstruction error.
- Published in:
- Neural Computing & Applications, 2018, v. 29, n. 11, p. 1171, doi. 10.1007/s00521-016-2628-6
- By:
- Publication type:
- Article
47
Convolutional restricted Boltzmann machines learning for robust visual tracking.
- Published in:
- Neural Computing & Applications, 2014, v. 25, n. 6, p. 1383, doi. 10.1007/s00521-014-1625-x
- By:
- Publication type:
- Article
48
A novel approach to accelerate the convergence speed of a stochastic multi-agent system using recurrent neural nets.
- Published in:
- Neural Computing & Applications, 2012, v. 21, n. 8, p. 2015, doi. 10.1007/s00521-011-0624-4
- By:
- Publication type:
- Article
49
An improved advertising CTR prediction approach based on the fuzzy deep neural network.
- Published in:
- PLoS ONE, 2018, v. 13, n. 5, p. 1, doi. 10.1371/journal.pone.0190831
- By:
- Publication type:
- Article
50
Communication modulation recognition algorithm based on STFT mechanism in combination with unsupervised feature-learning network.
- Published in:
- Peer-to-Peer Networking & Applications, 2019, v. 12, n. 6, p. 1615, doi. 10.1007/s12083-019-00807-2
- By:
- Publication type:
- Article