Search Result "restricted boltzmann machines."


Research Article

Classifying Cognitive Normal and Early Mild Cognitive Impairment of Alzheimer’s Disease by Applying Restricted Boltzmann Machine to fMRI Data

Journal: Current Bioinformatics
Volume: 16 Issue: 2 Year: 2021 Page: 252-260
Author(s): Shengbing Pei,Jihong Guan

Probability-based Neural Network Systems

Ebook: Artificial Neural Systems: Principle and Practice
Volume: 1 Year: 2015
Author(s): Pierre Lorrentz
Doi: 10.2174/9781681080901115010011

Machine Learning Approaches for Cognitive State Classification and Brain Activity Prediction: A Survey

Journal: Current Bioinformatics
Volume: 10 Issue: 4 Year: 2015 Page: 344-359
Author(s): Shantipriya Parida,Satchidananda Dehuri,Sung-Bae Cho

Gradients: The Heart of the MRI Machine

Journal: Current Medical Imaging Reviews
Volume: 2 Issue: 1 Year: 2006 Page: 131-138
Author(s): Barry L.W. Chapman

Review Article

A Tour of Unsupervised Deep Learning for Medical Image Analysis

Journal: Current Medical Imaging
Volume: 17 Issue: 9 Year: 2021 Page: 1059-1077
Author(s): Khalid Raza,Nripendra Kumar Singh

Review Article

Survey of Machine Learning Techniques in Drug Discovery

Journal: Current Drug Metabolism
Volume: 20 Issue: 3 Year: 2019 Page: 185-193
Author(s): Natalie Stephenson,Emily Shane,Jessica Chase,Jason Rowland,David Ries,Nicola Justice,Jie Zhang,Leong Chan,Renzhi Cao

Review Article

Recent Advances in the Machine Learning-Based Drug-Target Interaction Prediction

Journal: Current Drug Metabolism
Volume: 20 Issue: 3 Year: 2019 Page: 194-202
Author(s): Wen Zhang,Weiran Lin,Ding Zhang,Siman Wang,Jingwen Shi,Yanqing Niu

Novel Concepts for Organic Syntheses Based on Interfaces and Molecular Machines

Journal: Current Organic Synthesis
Volume: 9 Issue: 4 Year: 2012 Page: 428-438
Author(s): Shinsuke Ishihara,Yutaka Wakayama,Nobuya Hiroshiba,Jonathan P. Hill,Katsuhiko Ariga

Research Article

Prediction of Protein S-Sulfenylation Sites Using a Deep Belief Network

Journal: Current Bioinformatics
Volume: 13 Issue: 5 Year: 2018 Page: 461-467
Author(s): Lulu Nie,Lei Deng,Chao Fan,Weihua Zhan,Yongjun Tang

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