UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 1 Issue 7
December-2014
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1407031


Registration ID:
140399

Page Number

749-753

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Title

A Literature Survey on Learning a Propagable Graph for Classification under the Scenario with Uncertain Labels

Abstract

In this paper, we present that Learning by propagability is a novel feature extraction framework. The entire leaning methodology is based on the data labels and optimality of feature representation that can create a harmonic system. Here data labels are invariant regarding the propagation on the similarity graph constructed based on the optimal feature representation. Using this idea, we can perform classification. This approach deals with multiclass classification problems. Dealing with uncertain labels is the crucial problem in today’s world. Here, we have tried to explain theory of belief functions which is used to treat uncertain labels. Applying two or more learning rules, we can implement the classification procedure for uncertain labels data sets.

Key Words

Semi-supervised learning, graph-based learning, propagability, graph harmoniousness, uncertainty, feature extraction, multiclass classification

Cite This Article

"A Literature Survey on Learning a Propagable Graph for Classification under the Scenario with Uncertain Labels", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 7, page no.749-753, December-2014, Available :http://www.jetir.org/papers/JETIR1407031.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Literature Survey on Learning a Propagable Graph for Classification under the Scenario with Uncertain Labels", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 7, page no. pp749-753, December-2014, Available at : http://www.jetir.org/papers/JETIR1407031.pdf

Publication Details

Published Paper ID: JETIR1407031
Registration ID: 140399
Published In: Volume 1 | Issue 7 | Year December-2014
DOI (Digital Object Identifier):
Page No: 749-753
Country: Bardoli, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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