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

Anna Jurek; Yaxin Bi; Shengli Wu; Chris D. Nugent

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

Anna Jurek, Yaxin Bi, Shengli Wu, Chris D. Nugent

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Number of pages	13
Publication status	Published (in print/issue) - 2011
Event	Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on - Duration: 1 Jan 2011 → …

Conference

Conference	Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Period	1/01/11 → …

Cite this

@inproceedings{6808a73a6ba54744a3aa9ea1801a8a0a,

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",

publisher = "IEEE",

address = "United States",

note = "Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on ; Conference date: 01-01-2011",

}

TY - GEN

T1 - Classification by Clusters Analysis - An Ensemble Technique in a Semi-supervised Classification

AU - Jurek, Anna

AU - Bi, Yaxin

AU - Wu, Shengli

AU - Nugent, Chris D.

PY - 2011

Y1 - 2011

N2 - 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.

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

PB - IEEE

T2 - Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on

Y2 - 1 January 2011

ER -

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

Abstract

Conference

Fingerprint

Cite this