On the public citation graph
Temperature based Restricted Boltzmann Machines
0 signed · 102 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1099-0720(199912)13:6<561::aid-acp661>3.0.co;2-jopenalex-snapshot
Arctic cognition: a study of cognitive performance in summer and winter at 69°N
inferredcites →https://doi.org/10.1007/978-3-319-09330-7_25openalex-snapshot
A Deep Learning Method for Classification of EEG Data Based on Motor Imagery
inferredcites →https://doi.org/10.1007/978-3-319-15702-3_37openalex-snapshot
RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique
inferredcites →https://doi.org/10.1007/978-3-319-16354-3_49openalex-snapshot
Learning Higher-Level Features with Convolutional Restricted Boltzmann Machines for Sentiment Analysis
inferredcites →https://doi.org/10.1007/978-3-319-16498-4_3openalex-snapshot
Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images
inferredcites →https://doi.org/10.1007/978-3-642-33275-3_2openalex-snapshot
An Introduction to Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1007/978-3-642-33715-4_22openalex-snapshot
Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1016/0893-6080(89)90044-0openalex-snapshot
Optimal unsupervised learning in a single-layer linear feedforward neural network
inferredcites →https://doi.org/10.1016/c2013-0-00704-9openalex-snapshot
Course of Theoretical Physics
inferredcites →https://doi.org/10.1016/j.amc.2015.01.049openalex-snapshot
Approximation by network operators with logistic activation functions
inferredcites →https://doi.org/10.1016/j.engappai.2014.09.013openalex-snapshot
Contrastive divergence for memristor-based restricted Boltzmann machine
inferredcites →https://doi.org/10.1016/j.neucom.2013.03.047openalex-snapshot
Time series forecasting using a deep belief network with restricted Boltzmann machines
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot
Deep learning in neural networks: An overview
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.006openalex-snapshot
Expected energy-based restricted Boltzmann machine for classification
inferredcites →https://doi.org/10.1016/j.neuroimage.2014.03.048openalex-snapshot
Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks
inferredcites →https://doi.org/10.1016/j.neuroimage.2014.06.077openalex-snapshot
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
inferredcites →https://doi.org/10.1016/j.patcog.2013.05.025openalex-snapshot
Training restricted Boltzmann machines: An introduction
inferredcites →https://doi.org/10.1016/j.patrec.2013.10.009openalex-snapshot
Learning ensemble classifiers via restricted Boltzmann machines
inferredcites →https://doi.org/10.1016/j.patrec.2014.03.022openalex-snapshot
Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations
inferredcites →https://doi.org/10.1016/j.physleta.2005.05.063openalex-snapshot
Exact Maxwell–Boltzmann, Bose–Einstein and Fermi–Dirac statistics
inferredcites →https://doi.org/10.1016/s0129-0657(00)00028-4openalex-snapshot
INSTABILITIES AND OSCILLATION IN THE DETERMINISTIC BOLTZMANN MACHINE
inferredcites →https://doi.org/10.1016/s0925-2312(97)90018-7openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1017/pasa.2013.38openalex-snapshot
Spectral Classification Using Restricted Boltzmann Machine
inferredcites →https://doi.org/10.1021/j150299a014openalex-snapshot
The Application of the Logistic Function to Experimental Data.
inferredcites →https://doi.org/10.1023/a:1021360805193openalex-snapshot
Maxwell–Boltzmann Statistics And The Metaphysics Of Modality
inferredcites →https://doi.org/10.1063/1.3562773openalex-snapshot
Robust Thermal Boundary Condition Using Maxwell-Boltzmann Statistics and its Application
inferredcites →https://doi.org/10.1063/1.4906027openalex-snapshot
Origin of generalized entropies and generalized statistical mechanics for superstatistical multifractal systems
inferredcites →https://doi.org/10.1080/02564602.2014.987328openalex-snapshot
An Overview of Deep Generative Models
inferredcites →https://doi.org/10.1088/1742-2132/12/3/419openalex-snapshot
Curvelet domain denoising based on kurtosis characteristics
inferredcites →https://doi.org/10.1093/biomet/57.1.97openalex-snapshot
Monte Carlo sampling methods using Markov chains and their applications
inferredcites →https://doi.org/10.1093/biomet/82.4.711openalex-snapshot
Reversible Jump Markov Chain Monte Carlo Computation and Bayesian Model Determination
inferredcites →https://doi.org/10.1103/physrevd.90.123004openalex-snapshot
Statistical mechanics of self-gravitating systems: Mixing as a criterion for indistinguishability
inferredcites →https://doi.org/10.1103/physreve.91.052106openalex-snapshot
Nonlinear Kramers equation associated with nonextensive statistical mechanics
inferredcites →https://doi.org/10.1109/5.40665openalex-snapshot
Discrete-index Markov-type random processes
inferredcites →https://doi.org/10.1109/bibe.2014.26openalex-snapshot
A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals
inferredcites →https://doi.org/10.1109/cse.2014.312openalex-snapshot
Credit Risk Classification Using Discriminative Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1109/cse.2014.317openalex-snapshot
Multi-instance Learning Using Information Entropy Theory for Image Retrieval
inferredcites →https://doi.org/10.1109/icdm.2014.70openalex-snapshot
Data Fusion Using Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1109/icfhr.2014.125openalex-snapshot
A Noisy-Or Discriminative Restricted Boltzmann Machine for Recognizing Handwriting Style Development
inferredcites →https://doi.org/10.1109/icosp.2014.7015250openalex-snapshot
SEU-tolerant Restricted Boltzmann Machine learning on DSP-based fault detection
inferredcites →https://doi.org/10.1109/icpr.2014.77openalex-snapshot
Periocular Recognition Using Unsupervised Convolutional RBM Feature Learning
inferredcites →https://doi.org/10.1109/ijcnn.2013.6707067openalex-snapshot
Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks
inferredcites →https://doi.org/10.1109/ijcnn.2014.6889729openalex-snapshot
Learning features from High Speed Train vibration signals with Deep Belief Networks
inferredcites →https://doi.org/10.1109/taslp.2014.2353991openalex-snapshot
Voice Conversion Using Deep Neural Networks With Layer-Wise Generative Training
inferredcites →https://doi.org/10.1109/tpami.2004.1262177openalex-snapshot
What energy functions can be minimized via graph cuts?
inferredcites →https://doi.org/10.1109/tpami.2014.2353635openalex-snapshot
Deep Reconstruction Models for Image Set Classification
inferredcites →https://doi.org/10.1111/j.1756-8765.2010.01109.xopenalex-snapshot
Discovering Binary Codes for Documents by Learning Deep Generative Models
inferredcites →https://doi.org/10.1119/1.4898433openalex-snapshot
Thermodynamic time asymmetry and the Boltzmann equation
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1142/s0129065713500196openalex-snapshot
BEHIND THE MAGICAL NUMBERS: HIERARCHICAL CHUNKING AND THE HUMAN WORKING MEMORY CAPACITY
inferredcites →https://doi.org/10.1142/s0129065714400061openalex-snapshot
AN OPTIMIZATION SPIKING NEURAL P SYSTEM FOR APPROXIMATELY SOLVING COMBINATORIAL OPTIMIZATION PROBLEMS
inferredcites →https://doi.org/10.1142/s0129065714500348openalex-snapshot
Learning Feature Representations with a Cost-Relevant Sparse Autoencoder
inferredcites →https://doi.org/10.1145/1390156.1390224openalex-snapshot
Classification using discriminative restricted Boltzmann machines
inferredcites →https://doi.org/10.1162/089976602760128018openalex-snapshot
Training Products of Experts by Minimizing Contrastive Divergence
inferredcites →https://doi.org/10.1162/neco.2008.11-07-647openalex-snapshot
Justifying and Generalizing Contrastive Divergence
inferredcites →https://doi.org/10.1214/aos/1176347617openalex-snapshot
Random Truncation Models and Markov Processes
inferredcites →https://doi.org/10.1631/fitee.1400323openalex-snapshot
Speech emotion recognition with unsupervised feature learning
inferredcites →https://doi.org/10.3389/fnins.2013.00272openalex-snapshot
Event-driven contrastive divergence for spiking neuromorphic systems
inferredcites →https://doi.org/10.3389/fnins.2014.00229openalex-snapshot
Deep learning for neuroimaging: a validation study
inferredcites →https://doi.org/10.5414/prx00441openalex-snapshot
Doping 2012 – aktuelle Befragung hessischer SportmedizinerInnen zur Erfahrung mit Doping
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
inferredcites →https://doi.org/10.7566/jpsj.83.064004openalex-snapshot
A New Approach for the Statistical Thermodynamic Theory of the Nonextensive Systems Confined in Different Finite Traps
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/aisy.70469openalex-snapshot
Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization
inferred← citeshttps://doi.org/10.1007/978-3-030-68723-6_6openalex-snapshot
Machine and Deep Learning Algorithms for Wearable Health Monitoring
inferred← citeshttps://doi.org/10.1007/978-3-030-68763-2_41openalex-snapshot
An Analysis of Tasks and Features for Neuro-Degenerative Disease Assessment by Handwriting
inferred← citeshttps://doi.org/10.1007/978-3-030-86159-9_1openalex-snapshot
Benchmarking of Shallow Learning and Deep Learning Techniques with Transfer Learning for Neurodegenerative Disease Assessment Through Handwriting
inferred← citeshttps://doi.org/10.1007/978-3-319-64689-3_14openalex-snapshot
Deep Boltzmann Machines Using Adaptive Temperatures
inferred← citeshttps://doi.org/10.1007/s11063-017-9707-2openalex-snapshot
Temperature-Based Deep Boltzmann Machines
inferred← citeshttps://doi.org/10.1007/s12559-018-9563-zopenalex-snapshot
A New Algorithm for SAR Image Target Recognition Based on an Improved Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.1016/b978-0-12-816718-2.00014-2openalex-snapshot
Efficient Deep Learning Approaches for Health Informatics
inferred← citeshttps://doi.org/10.1016/j.ceramint.2025.03.459openalex-snapshot
Upconversion and optical thermometry traits of Tm3+/Yb3+ co-doped B2O3-SiO2 based oxyfluoride glass ceramics
inferred← citeshttps://doi.org/10.1016/j.chaos.2024.115195openalex-snapshot
Stochastic artificial neuron based on Ovonic Threshold Switch (OTS) and its applications for Restricted Boltzmann Machine (RBM)
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.03.056openalex-snapshot
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
inferred← citeshttps://doi.org/10.1016/j.inffus.2018.06.002openalex-snapshot
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
inferred← citeshttps://doi.org/10.1016/j.jallcom.2020.155202openalex-snapshot
Cation distribution and magnetic characteristics of textured BaFe12-Sc O19 hexaferrites: Experimental and theoretical evaluations
inferred← citeshttps://doi.org/10.1016/j.neucom.2016.12.038openalex-snapshot
A survey of deep neural network architectures and their applications
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128716openalex-snapshot
Deep belief network with fuzzy parameters and its membership function sensitivity analysis
inferred← citeshttps://doi.org/10.1016/j.neunet.2020.10.013openalex-snapshot
PM2.5 concentration modeling and prediction by using temperature-based deep belief network
inferred← citeshttps://doi.org/10.1038/s41467-021-26012-5openalex-snapshot
Reconfigurable Stochastic neurons based on tin oxide/MoS2 hetero-memristors for simulated annealing and the Boltzmann machine
inferred← citeshttps://doi.org/10.1038/s41598-021-82197-1openalex-snapshot
Adaptive hyperparameter updating for training restricted Boltzmann machines on quantum annealers
inferred← citeshttps://doi.org/10.1063/1.5017439openalex-snapshot
Study of piezoelectric filler on the properties of PZT-PVDF composites
inferred← citeshttps://doi.org/10.1088/1742-5468/aae025openalex-snapshot
Machine learning algorithms based on generalized Gibbs ensembles
inferred← citeshttps://doi.org/10.1088/1751-8121/ad649aopenalex-snapshot
Geometrically frustrated systems which are as singles hotter than in company
inferred← citeshttps://doi.org/10.1103/physreve.96.022131openalex-snapshot
Nonequilibrium thermodynamics of restricted Boltzmann machines
inferred← citeshttps://doi.org/10.1109/cec48606.2020.9185505openalex-snapshot
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization
inferred← citeshttps://doi.org/10.1109/ijcnn.2017.7966133openalex-snapshot
Using information fractal dimension as temperature in restricted Boltzmann Machine
inferred← citeshttps://doi.org/10.1109/ijcnn.2019.8851714openalex-snapshot
κ-Entropy Based Restricted Boltzmann Machines
inferred← citeshttps://doi.org/10.1109/lsp.2019.2902936openalex-snapshot
Velocity-Based Signal Features for the Assessment of Parkinsonian Handwriting
inferred← citeshttps://doi.org/10.1109/ojia.2024.3522072openalex-snapshot
Cooperative UAV Scheduling for Power Grid Deicing Using Fuzzy Learning and Evolutionary Optimization
inferred← citeshttps://doi.org/10.1109/tcyb.2018.2863601openalex-snapshot
Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints
inferred← citeshttps://doi.org/10.1109/tetci.2020.3043764openalex-snapshot
Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random
inferred← citeshttps://doi.org/10.1155/2020/8821868openalex-snapshot
Multipose Face Recognition-Based Combined Adaptive Deep Learning Vector Quantization
inferred← citeshttps://doi.org/10.1155/2021/5525648openalex-snapshot
[Retracted] Research on the Application of Multimedia Elements in Visual Communication Art under the Internet Background
inferred← citeshttps://doi.org/10.12677/csa.2018.84064openalex-snapshot
The Latest Progress of Deep Learning
inferred← citeshttps://doi.org/10.2174/0929867328666210405114938openalex-snapshot
Recent Applications of Artificial Intelligence in the Detection of Gastrointestinal, Hepatic and Pancreatic Diseases
inferred← citeshttps://doi.org/10.3390/app11209705openalex-snapshot
A CNN-Based Advertisement Recommendation through Real-Time User Face Recognition
inferred← citeshttps://doi.org/10.4018/978-1-6684-7535-5.ch009openalex-snapshot
An Enhanced Study of Quantum Computing in the View of Machine Learning
inferred← citeshttps://doi.org/10.48550/arxiv.1608.07719openalex-snapshot
Temperature-Based Deep Boltzmann Machines
inferred← citeshttps://doi.org/10.48550/arxiv.2003.07443openalex-snapshot
Learnergy: Energy-based Machine Learners
inferred← citeshttps://doi.org/10.5753/sibgrapi.est.2019.8294openalex-snapshot
On the Training Algorithms for Restricted Boltzmann Machines
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.