Year  Title  Author 
2017

Restricted Boltzmann Machines for Vector Representation of Speech in Speaker Recognition 
O Ghahabi, J Hernando

2017

Gaussianbinary restricted Boltzmann machines for modeling natural image statistics 
J Melchior, N Wang, L Wiskott

2017

Exploiting Restricted Boltzmann Machines and Deep Belief Networks in Compressed Sensing 
LF Polania, KE Barner

2017

Convolutional Neural Networks Arise From Ising Models and Restricted Boltzmann Machines 
S Pai

2017

Nonequilibrium Thermodynamics of Restricted Boltzmann Machines 
DSP Salazar

2017

Fuzzy Restricted Boltzmann Machines 
RW Harrison, C Freas

2017

On the Equivalence of Restricted Boltzmann Machines and Tensor Network States 
J Chen, S Cheng, H Xie, L Wang, T Xiang

2017

Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs 
K Fan

2017

Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints 
J Chu, H Wang, H Meng, P Jin, T Li

2017

Restricted Boltzmann Machines in Sensory Motor Rhythm BrainComputer Interfacing: A Study on InterSubject Transfer and CoAdaptation 
RJ Kobler, R Scherer

2017

Improving the Generalization Ability of Restricted Boltzmann Machines via Theta Pure Dependency 
Q Xu, Y Hou

2017

Protein Function Prediction using Deep Restricted Boltzmann Machines 
X Zou, G Wang, G Yu

2017

Propositional Knowledge Representation in Restricted Boltzmann Machines 
SN Tran

2017

A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines 
EW Tramel, M Gabrié, A Manoel, F Caltagirone

2017

Voice Activity Detection Using Discriminative Restricted Boltzmann Machines 
RG Borin, MTM Silva

2017

Lecture Notes on Restricted Boltzmann Machines 
L Wiskott

2017

An overview on restricted boltzmann machines 
N Zhang, S Ding, J Zhang, Y Xue

2017

Restricted Boltzmann Machines and Deep Belief Networks on Sunway Cluster 
K Song, Y Liu, R Wang, M Zhao, Z Hao, D Qian

2017

Training Restricted Boltzmann Machines Using HighTemperature Expansions 
P Budzianowski

2017

A Systematic Approach for the Application of Restricted Boltzmann Machines in Network Intrusion Detection 
A Gouveia, M Correia

2017

Biasing Restricted Boltzmann Machines using Gaussian Filters to Learn Invariant Visual Features 
A Yogeswaran, P Payeur

2017

Elastic restricted Boltzmann machines for cancer data analysis 
S Zhang, M Liang, Z Zhou, C Zhang, N Chen, T Chen

2017

A deep learning scheme for mental workload classification based on restricted Boltzmann machines 
J Zhang, S Li

2016

Speech steganalysis using evolutionary restricted Boltzmann machines 
C Paulin, SA Selouani, É Hervet

2016

FPGA Implementation of a Scalable and Highly Parallel Architecture for Restricted Boltzmann Machines 
K Ueyoshi, T Marukame, T Asai, M Motomura

2016

Efficient Machine Learning Using Partitioned Restricted Boltzmann Machines 
H Tosun

2016

Combining Generative and Discriminative Representation Learning for Lung CT Analysis with Convolutional Restricted Boltzmann Machines 
G van Tulder, M de Bruijne

2016

Imposing higherlevel Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints 
S Lattner, M Grachten, G Widmer

2016

Enhanced Factored ThreeWay Restricted Boltzmann Machines for Speech Detection 
P Sun, J Qin

2016

Accurate prediction of docked protein structure similarity using neural networks and restricted Boltzmann machines 
R Farhoodi, B Akbal

2016

Deep Learning using Restricted Boltzmann Machines 
N Agarwalla, D Panda, MK Modi

2016

Class Sparsity Signature based Restricted Boltzmann Machines 
A Sankaran, G Goswami, M Vatsa, R Singh

2016

Average Contrastive Divergence for Training Restricted Boltzmann Machines 
X Ma, X Wang

2016

Action Recognition Using Convolutional Restricted Boltzmann Machines 
P Palasek, I Patras

2016

Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank 
J Xu, H Chen, S Zhou, B He

2016

Robustness of hardwareoriented restricted Boltzmann machines in deep belief networks for reliable processing 
K Ueyoshi, T Marukame, T Asai, M Motomura

2016

Accelerate Monte Carlo Simulations with Restricted Boltzmann Machines 
L Huang, L Wang

2016

Image classification with stacked restricted boltzmann machines and evolutionary function array classification voter 
S Chen, G Liu, C Wu, Z Jiang, J Chen

2016

In Implementation of Deep Belief Networks Using Restricted Boltzmann Machines in Clojure 
JC Sims

2016

Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3D Meshes 
Z Han, Z Liu, J Han, CM Vong, S Bu, CLP Chen

2016

A Method of Discriminative Features Extraction for Restricted Boltzmann Machines 
S Guo, C Zhou, B Wang, S Zhou

2016

On the propriety of restricted Boltzmann machines 
A Kaplan, D Nordman, S Vardeman

2016

Restricted Boltzmann Machines Without Random Number Generators for Efficient Digital Hardware Implementation 
S Hori, T Morie, H Tamukoh

2016

Rootcause localization using Restricted Boltzmann Machines 
HJ Steinhauer, A Karlsson, G Mathiason, T Helldin

2016

Representation decomposition for knowledge extraction and sharing using restricted Boltzmann machines 
S Tran

2016

Temperature based Restricted Boltzmann Machines 
G Li, L Deng, Y Xu, C Wen, W Wang, J Pei, L Shi

2016

Classspecific midlevel feature learning with the Discriminative Groupwise BetaBernoulli process restricted Boltzmann machines 
HJ Lee, KS Hong

2015

Learning vector representation of medical objects via EMRdriven nonnegative restricted Boltzmann machines (eNRBM) 
T Tran, TD Nguyen, D Phung, S Venkatesh

2015

Conditional Restricted Boltzmann Machines for Multilabel Learning with Incomplete Labels 
X Li, F Zhao, Y Guo

2015

An optimized dimensionality reduction model for highdimensional data based on Restricted Boltzmann Machines 
K Zhang, J Liu, Y Chai, K Qian

2015

On the Model Selection of Bernoulli Restricted Boltzmann Machines Through Harmony Search 
JP Papa, GH Rosa, KA Costa, NA Marana, W Scheirer

2015

Training Restricted Boltzmann Machines via the ThoulessAndersonPalmer Free Energy 
M Gabrié, EW Tramel, F Krzakala

2015

Hardware implementation of reconfigurable Restricted Boltzmann Machines for image recognition 
SJ Desai

2015

An incremental learning approach for restricted boltzmann machines 
J Yu, J Gwak, S Lee, M Jeon

2015

Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation 
R Hrasko, AGC Pacheco, RA Krohling

2015

Factored Four Way Conditional Restricted Boltzmann Machines for Activity Recognition 
DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta

2015

Topologically Ordered Feature Extraction Based on Sparse Group Restricted Boltzmann Machines 
Z Chena, S Xionga, Z Fangb, R Zhanga, X Konga

2015

Mask selective regularization for restricted Boltzmann machines 
J Mansanet, A Albiol, R Paredes, A Albiol

2015

Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines 
CEC Chacón

2015

Mixing Rates for the Gibbs Sampler over Restricted Boltzmann Machines 
C Tosh

2015

Credit Risk Classification Using Discriminative Restricted Boltzmann Machines 
Q Li, J Zhang, Y Wang, K Kang

2015

Data Fusion Using Restricted Boltzmann Machines 
Y Sakai, K Yamanishi

2015

Rényi Divergence Based Generalization for Learning of Classification Restricted Boltzmann Machines 
Q Yu, Y Hou, X Zhao, G Cheng

2015

Discrete Restricted Boltzmann Machines 
G Montúfar, J Morton

2015

Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines 
P Vellanki, D Phung, T Duong, S Venkatesh

2015

LIP movement generation using restricted Boltzmann machines for visual speech synthesis 
ZC Liu, ZH Ling, LR Dai

2015

Model Selection for Discriminative Restricted Boltzmann Machines Through Metaheuristic Techniques 
JP Papa, GH Rosa, AN Marana, W Scheirer, DD Cox

2015

Stochastic Spectral Descent for Restricted Boltzmann Machines 
D Carlson, V Cevher, L Carin

2015

Learning HigherLevel Features with Convolutional Restricted Boltzmann Machines for Sentiment Analysis 
T Huynh, Y He, S Rüger

2015

A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines 
J Gao, J Yang, G Wang, M Li

2015

Learning Informative Features from Restricted Boltzmann Machines 
JM Tomczak

2015

Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines 
C Gou, K Wang, Y Yao, Z Li

2015

An Evolutionary Approximation to Contrastive Divergence in Convolutional Restricted Boltzmann Machines 
R MCCOPPIN

2014

Atomic Energy Models For Machine Learning: Atomic Restricted Boltzmann Machines 
H Tosun

2014

Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images 
J Liu, M Gong, J Zhao, H Li, L Jiao

2014

Restricted Boltzmann Machines 
K Duh

2014

Voice Conversion Using RNN PreTrained by Recurrent Temporal Restricted Boltzmann Machines 
T Nakashika, T Takiguchi, Y Ariki

2014

Restricted Boltzmann Machines with SVM for Object Recognition⋆ 
C XIE, Y DU, Z GAO

2014

Maximum Reconstruction Probability Training Of Restricted Boltzmann Machines With Auxiliary Function Approach 
N Takamune, H Kameoka

2014

Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization 
M Probst, F Rothlauf, J Grahl

2014

Scalable Learning for Restricted Boltzmann Machines 
E Barshan, P Fieguth
