NDLI: Unsupervised High Order Boltzmann Machine and Its Application on Medicine

Content Provider	IEEE Xplore Digital Library
Author	Sun Zhanquan Xi Guangcheng Yi Jianqiang
Copyright Year	2007
Description	Author affiliation: Acad. of Sci., Beijing (Sun Zhanquan; Xi Guangcheng; Yi Jianqiang)
Abstract	Based on current work about high order Boltzmann machine (BM) and unsupervised BM, an unsupervised learning algorithm based on high order BM is proposed. It is different from supervised BM in that it has no training samples for output units. In the unsupervised BM, the maximization of the mutual information based on Shannon entropy is used as an unsupervised criterion. As we all know, the computation cost of BM with hidden units is very expensive. When two restrictions are considered, that is the absence of hidden units and the restriction to classification problems, the high order BM can make up for the losing of hidden unit which can save lots of the computation cost. This domain of problems is very broad. The algorithm is the same with discrete variables and continuous variables. At last, the unsupervised high order BM is used to classify some medical data.
Starting Page	343
Ending Page	347
File Size	210958
Page Count	5
File Format	PDF
ISBN	9780769528755
DOI	10.1109/ICNC.2007.793
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning systems Computational modeling Neural networks Laboratories Computer architecture Feature extraction Computational efficiency Intelligent systems Sun Principal component analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Soft multiple winners for sparse feature extraction

An on-line unsupervised learning machine for adaptive feature extraction

An Unsupervised Learning Algorithm for Intelligent Image Analysis

An on-line unsupervised learning machine for adaptive feature extraction

Spectral feature analysis

Unsupervised extraction of meaningful Nonlinear Principal Components applied for voice conversion

Regular simplex criterion: A novel feature extraction criterion

Extensions of principal component analysis for nonlinear feature extraction

Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks

Unsupervised High Order Boltzmann Machine and Its Application on Medicine

Similar Documents

Soft multiple winners for sparse feature extraction

An on-line unsupervised learning machine for adaptive feature extraction

An Unsupervised Learning Algorithm for Intelligent Image Analysis

An on-line unsupervised learning machine for adaptive feature extraction

Spectral feature analysis

Unsupervised extraction of meaningful Nonlinear Principal Components applied for voice conversion

Regular simplex criterion: A novel feature extraction criterion

Extensions of principal component analysis for nonlinear feature extraction

Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks

Unsupervised High Order Boltzmann Machine and Its Application on Medicine