Year  Title  Author 
2017

Speakeradaptivetrainable Boltzmann machine and its application to nonparallel voice conversion 
T Nakashika, Y Minami

2017

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

2017

DeepX: Deep Learning Accelerator for Restricted Boltzmann Machine Artificial Neural Networks. 
LW Kim

2017

Deep Boltzmann Machines for Robust Fingerprint Spoofing Attack Detection 
GB Souza, DFS Santos, RG Pires, AN Marana

2017

A modified version of Helmholtz Machine by using an Restricted Boltzmann Machine to model the generative probability of the top layer 
J Hu, J Zhang, N Ji, C Zhang

2017

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

2017

Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks 
XZ Wang, T Zhang, R Wang

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

Sample Document–Inversion Of The Permeability Of A Tight Gas Reservoir With The Combination Of A Deep Boltzmann Kernel … 
L Zhu, C Zhang, Y Wei, X Zhou, Y Huang, C Zhang

2017

Nonequilibrium Thermodynamics of Restricted Boltzmann Machines 
DSP Salazar

2017

Deep Multiconnected Boltzmann Machine for Classification 
GS Tsanev

2017

Hastening Deep Boltzmann Machines Using Adaptive Temperatures 
LAP Júnior, KAP Costa, JP Papa

2017

Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Restricted Boltzmann Machine 
N Li, J Shi, M Gong

2017

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

2017

Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling 
M Wong, B Farooq, GA Bilodeau

2017

Visual Object Tracking Based on CrossModality GaussianBernoulli Deep Boltzmann Machines with RGBD Sensors 
M Jiang, Z Pan, Z Tang

2017

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

2017

Financial time series forecasting using conditional Restricted Boltzmann Machine 
KC Lai

2017

Graph regularized Restricted Boltzmann Machine 
D Chen, J Lv, Z Yi

2017

From features to speaker vectors by means of restricted Boltzmann machine adaptation 
P Safari, O Ghahabi

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

A new itembased deep network structure using a restricted Boltzmann machine for collaborative filtering 
Y Du, C Yao, S Huo, J Liu

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

Conditional Highorder Boltzmann Machines for Supervised Relation Learning 
W Wang, T Tan

2017

DeepX: Deep Learning Accelerator for Restricted Boltzmann Machine Artificial Neural Networks 
LW Kim

2017

Lecture Notes on Restricted Boltzmann Machines 
L Wiskott

2017

Selfpaced Compensatory Deep Boltzmann Machine for SemiStructured Document Embedding 
S Li, S iPIN, R Pan, J Yan

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

VLSI Architectures for the Restricted Boltzmann Machine 
B Yuan, KK Parhi

2017

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

2017

Unsupervised Pretraining Classifier Based on Restricted Boltzmann Machine with Imbalanced Data 
X Fu

2017

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

2017

A Hybrid Deep Boltzmann Functional Link Network for Classification Problems 
R Savitha, KY Chan, PP San, SH Ling, S Suresh

2017

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

2017

Restricted Boltzmann machine based stock market trend prediction 
Q Liang, W Rong, J Zhang, J Liu, Z Xiong

2017

A CMOS chaotic Boltzmann machine circuit and threeneuron network operation 
M Yamaguchi, H Tamukoh, H Suzuki, T Morie

2017

Shape Completion using Deep Boltzmann Machine 
Z Wang, Q Wu

2017

Deep Boltzmann Machines Using Adaptive Temperatures 
LAP Júnior, KAP Costa, JP Papa

2017

A novel radar signal recognition method based on a deep restricted Boltzmann machine 
D Zhou, X Wang, Y Tian, R Wang

2017

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

2016

Finding a good initial configuration of parameters for restricted Boltzmann machine pretraining 
C Xie, J Lv, X Li

2016

Classification model of restricted Boltzmann machine based on reconstruction error 
J Yin, J Lv, Y Sang, J Guo

2016

Quantum Boltzmann Machine 
MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko

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

A Fuzzy Restricted Boltzmann Machine: Novel Learning Algorithms Based on Crisp Possibilistic Mean Value of Fuzzy Numbers 
S Feng, CLP Chen

2016

Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling 
CN Duong, K Luu, KG Quach, TD Bui

2016

Evaluation of vehicle interior sound quality using a continuous restricted Boltzmann machinebased DBN 
HB Huang, RX Li, ML Yang, TC Lim, WP Ding

2016

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

2016

Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine. 
Z Han, Z Liu, J Han, CM Vong, S Bu, X Li

2016

On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM 
B Wicht, A Fischer, J Hennebert

2016

Improved traffic detection with support vector machine based on restricted Boltzmann machine 
J Yang, J Deng, S Li, Y Hao

2016

Memristive Boltzmann Machine: A Hardware Accelerator for Combinatorial Optimization and Deep Learning 
MN Bojnordi, E Ipek

2016

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

2016

A very short term wind power prediction approach based on Multilayer Restricted Boltzmann Machine 
X Peng, L Xiong, J Wen, Y Xu, W Fan, S Feng, B Wang

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

Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines 
D Korenkevych, Y Xue, Z Bian, F Chudak

2016

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

2016

A Study on Visualizing Feature Extracted from Deep Restricted Boltzmann Machine using PCA 
K Kawasaki, T Yoshikawa, T Furuhashi

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

MapReduce Based Distributed Learning Algorithm for Restricted Boltzmann Machine 
CY Zhang, CLP Chen, D Chen, KT NG

2016

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

2016

Rough Restricted Boltzmann Machine–New Architecture for Incomplete Input Data 
WK Mleczko, RK Nowicki, R Angryk

2016

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

2016

TemperatureBased Deep Boltzmann Machines 
LAP Junior, JP Papa

2016

Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine 
Z Han, Z Liu, J Han, CM Vong, S Bu, X Li

2016

Relationship between PreTraining and Maximum Likelihood Estimation in Deep Boltzmann Machines 
M Yasuda

2016

Bidirectional association of joint angle trajectories for humanoid locomotion: the restricted Boltzmann machine approach 
M Raj, VB Semwal, GC Nandi

2016

A Structural Learning Method of Restricted Boltzmann Machine by Neuron Generation and Annihilation Algorithm 
S Kamada, T Ichimura

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

Learning Thermodynamics with Boltzmann Machines 
G Torlai, RG Melko

2016

Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine 
S Odense, R Edwards

2016

ThetaRBM: Unfactored Gated Restricted Boltzmann Machine for RotationInvariant Representations 
MV Giuffrida, SA Tsaftaris

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

A Novel Bearing Fault Diagnosis Method based on Gaussian Restricted Boltzmann Machine 
X HE, Y LI, C ZHOU

2016

Classificaç ao de grandes bases de dados utilizando máquina de Boltzmann restrita discriminativa 
AGC Pacheco, RA Krohling

2016

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

2016

Statistical mechanics of unsupervised feature learning in a restricted Boltzmann machine with binary synapses 
H Huang

2016

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

2016

RotationInvariant Restricted Boltzmann Machine using shared gradient filters 
MV Giuffrida, SA Tsaftaris

2016

Pattern Recognition on the Basis of Boltzmann Machine Model 
A Babynin, L Gladkov, N Gladkova

2016

A joint Deep Boltzmann Machine (jDBM) Model for Person Identification using Mobile Phone Data 
M Alam, M Bennamoun, R Togneri, F Sohel

2016

A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+) 
N Phan, D Dou, B Piniewski, D Kil

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

Boltzmann Machine and its Applications in Image Recognition 
S Ding, J Zhang, N Zhang, Y Hou

2016

Weight Uncertainty in Boltzmann Machine 
J Zhang, S Ding, N Zhang, Y Xue

2016

NonParallel Training in Voice Conversion Using an Adaptive Restricted Boltzmann Machine 
T Nakashika, Y Minami, T Takiguchi

2016

A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines. 
N Lu, T Li, X Ren, H Miao

2016

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

2016

Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding 
F Zhao, Y Huang, L Wang, T Xiang, T Tan

2016

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

2016

Network Architecture of Unsupervised Boltzmann Machines 
M Piccolini

2016

Deep Restricted Boltzmann Networks 
H Hu, L Gao, Q Ma

2016

Domain Adaptation for Image Analysis: An Unsupervised Approach Using Boltzmann Machines Trained by Perturbation 
S Zaręba, M Kocot, JM Tomczak

2015

Restricted Boltzmann Machine Supervectors For Speaker Recognition 
O Ghahabi, J Hernando

2015

Infrared ultraspectral signature classification based on a restricted Boltzmann machine with sparse and prior constraints 
X Mei, Y Ma, F Fan, C Li, C Liu, J Huang, J Ma

2015

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

2015

Advanced Mean Field Theory of Restricted Boltzmann Machine 
H Huang, T Toyoizumi

2015

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

2015

Ensemble Classification Restricted Boltzmann Machines: A Deep Learning Based Classification Method⋆ 
P Zhanga, G Zhangb, Q Panc

2015

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

2015

Extensive Deep Belief Nets with Restricted Boltzmann Machine Using MapReduce Framework 
S Pandiganesh, JCMJ Pamila

2015

A Generative Restricted Boltzmann Machine Based Method for HighDimensional Motion Data Modeling 
S Nie, Z Wang, Q Ji

2015

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

2015

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

2015

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

2015

Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting 
CY Zhang, CLP Chen, M Gan, L Chen

2015

Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions 
T Lee, S Yoon

2015

Elastic regularization in restricted Boltzmann machines: Dealing with $ p\ gg N$ 
S Zhang

2015

Transfer learning method using multiprediction deep Boltzmann machines for a small scale dataset 
Y Sawada, K Kozuka

2015

Listening With Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines 
C Sui, M Bennamoun, R Togneri

2015

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

2015

Conditional HighOrder Boltzmann Machine: A Supervised Learning Model for Relation Learning 
Y Huang, W Wang, L Wang

2015

Towards 3D Object Detection With Bimodal Deep Boltzmann Machines Over RGBD Imagery 
W Liu, R Ji, S Li

2015

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

2015

A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines 
X Zhao, Y Hou, D Song, W Li

2015

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

2015

L_1regularized Boltzmann machine learning using majorizer minimization 
M Ohzeki

2015

Posed and Spontaneous Facial Expression Differentiation Using Deep Boltzmann Machines 
Q Gan, C Wu, S Wang, Q Ji

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

Gaussian discrete restricted Boltzmann machine: theory and its applications: a thesis presented in partial fulfilment of the requirements for the degree of Master of … 
S Manoharan

2015

Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines 
CEC Chacón

2015

Scalable user intent mining using a multimodal Restricted Boltzmann Machine 
Y Shang, W Ding, M Liu, X Song, T Hu, Y An, H Wang

2015

Highorder semiRestricted Boltzmann Machines and Deep Models for accurate peptideMHC binding prediction 
R Min, P Kuksa, X Ning

2015

Learning dynamic Boltzmann machines with spiketiming dependent plasticity 
T Osogami, M Otsuka

2015

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

2015

LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data 
K Li, J Gao, S Guo, N Du, X Li, A Zhang

2015

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

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

Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization 
M Probst, F Rothlauf

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

MeanField Inference in Gaussian Restricted Boltzmann Machine 
C Takahashi, M Yasuda

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

Fuzzy Restricted Boltzmann Machine and Its Fast Learning Algorithm 
CL Chen, CY Zhang, L Chen, M Gan

2015

Online SemiSupervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders 
II Ororbia, G Alexander, CL Giles, D Reitter

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

Automatic Identification of Conceptual Structures using Deep Boltzmann Machines 
PRK Rao, SL Devi

2015

Rademacher Complexity of the Restricted Boltzmann Machine 
X Zhang

2015

Natural Scene Recognition Based on Superpixels and Deep Boltzmann Machines 
J Yang, J Gao, G Wang, S Zhang

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

Classification Factored Gated Restricted Boltzmann Machine 
I Sorokin

2015

Learning Texture Image Prior for Super Resolution Using Restricted Boltzmann Machine 
C Kang, M Hong, SI Yoo

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

To be Bernoulli or to be Gaussian, for a Restricted Boltzmann Machine 
T Yamashita, M Tanaka, E Yoshida, Y Yamauchi

2014

Deep Narrow Boltzmann Machines are Universal Approximators 
G Montufar

2014

An Algorithm of Quantum Restricted Boltzmann Machine Network Based on Quantum Gates and Its Application 
P Zhang, S Li, Y Zhou

2014

An automatic setting for training restricted boltzmann machine 
CY Zhang, CL Chen

2014

Classification Restricted Boltzmann Machine for comprehensible credit scoring model 
JM Tomczak, M Zięba

2014

A NoisyOr Discriminative Restricted Boltzmann Machine for Recognizing Handwriting Style Development 
G Chen, SN Srihari

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

Learning Highlevel Features by Deep Boltzmann Machines for Handwriting Digits Recogintion 
S Zhang, K Kang

2014

Contrastive divergence for memristorbased restricted Boltzmann machine 
AM Sheri, A Rafique, W Pedrycz, M Jeon

2014

Restricted Boltzmann Machines 
K Duh

2014

話者適応型 Restricted Boltzmann Machine を用いた声質変換の検討 
中鹿亘， 滝口哲也， 有木康雄

2014

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

2014

Deep Correspondence Restricted Boltzmann Machine for Crossmodal Retrieval 
F Feng, R Li, X Wang

2014

Energy Based Models and Boltzmann Machines (Cont.) 
W Adams, K Plis

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

A 3D model recognition mechanism based on deep boltzmann machines 
B Leng, X Zhang, M Yao, Z Xiong

2014

Scalable Learning for Restricted Boltzmann Machines 
E Barshan, P Fieguth

2014

Expected energybased restricted Boltzmann machine for classification 
S Elfwing, E Uchibe, K Doya

2014

A Distributed Implementation of Training the Restricted Boltzmann Machine 
KINTEK NG

2014

Deep Model for Classification of Hyperspectral image using Restricted Boltzmann Machine 
ME Midhun, SR Nair, VT Prabhakar, SS Kumar

2014

A Novel Inference of a Restricted Boltzmann Machine 
M Tanaka, M Okutomi

2014

Investigating the Consistency and Convexity of Restricted Boltzmann Machine Learning 
BE Juel
