Classification by Clusters Analysis - An Ensemble Technique in a Semi-supervised Classification

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this work we adopt a previously introduced meta-learning classification method for semi-supervised learning problems. In our previous work we illustrated that the method is successful when applied in a supervised classification problem. In our current work the results demonstrate that following refinements made to the method it can be successfully applied to semi-supervised classification cases.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages13
Publication statusPublished - 2011
EventTools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on -
Duration: 1 Jan 2011 → …

Conference

ConferenceTools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Period1/01/11 → …

Fingerprint

Cluster analysis
Supervised learning

Cite this

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title = "Classification by Clusters Analysis - An Ensemble Technique in a Semi-supervised Classification",
abstract = "In this work we adopt a previously introduced meta-learning classification method for semi-supervised learning problems. In our previous work we illustrated that the method is successful when applied in a supervised classification problem. In our current work the results demonstrate that following refinements made to the method it can be successfully applied to semi-supervised classification cases.",
author = "Anna Jurek and Yaxin Bi and Shengli Wu and Nugent, {Chris D.}",
year = "2011",
language = "English",
booktitle = "Unknown Host Publication",

}

Jurek, A, Bi, Y, Wu, S & Nugent, CD 2011, Classification by Clusters Analysis - An Ensemble Technique in a Semi-supervised Classification. in Unknown Host Publication. Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on, 1/01/11.

Classification by Clusters Analysis - An Ensemble Technique in a Semi-supervised Classification. / Jurek, Anna; Bi, Yaxin; Wu, Shengli; Nugent, Chris D.

Unknown Host Publication. 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

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AU - Bi, Yaxin

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AU - Nugent, Chris D.

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AB - In this work we adopt a previously introduced meta-learning classification method for semi-supervised learning problems. In our previous work we illustrated that the method is successful when applied in a supervised classification problem. In our current work the results demonstrate that following refinements made to the method it can be successfully applied to semi-supervised classification cases.

M3 - Conference contribution

BT - Unknown Host Publication

ER -