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pClass+: a novel evolving semi-supervised classifier

Pratama, Mahardhika, Lughofer, Edwin, Lim, Chee Peng, Rahayu, Wenny, Dillon, Tharam and Budiyono, Agus 2017, pClass+: a novel evolving semi-supervised classifier, International journal of fuzzy systems, vol. 19, no. 3, pp. 863-880, doi: 10.1007/s40815-016-0236-3.

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Title pClass+: a novel evolving semi-supervised classifier
Author(s) Pratama, Mahardhika
Lughofer, Edwin
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Rahayu, Wenny
Dillon, Tharam
Budiyono, Agus
Journal name International journal of fuzzy systems
Volume number 19
Issue number 3
Start page 863
End page 880
Total pages 18
Publisher Springer
Place of publication Berlin, Germany
Publication date 2017-06
ISSN 1562-2479
2199-3211
Keyword(s) Evolving classifier
Semi-supervised classifier
Online learning
Summary A novel evolving semi-supervised classifier, namely Parsimonious Classifier+ (pClass+), is proposed in this paper. pClass+ enhances a recently developed classifier, namely pClass, for a semi-supervised learning scenario. As with its predecessor, pClass+ is capable of initiating its learning process from scratch with an empty rule base and adopts an open network structure, where fuzzy rules are evolved, pruned, and recalled automatically on demands. The novelty of pClass+ lies in an online active learning technique, which decreases operator’s annotation efforts and expedites its training process. pClass+ is also equipped with a new parameter identification strategy to cope with the class overlapping situation. The efficacy of pClass+ has been experimentally validated with numerous synthetic and real-world study cases, confirmed by thorough statistical tests and comparisons against state-of-the art classifiers, where pClass+ outperforms its counterparts in achieving the best trade-off between accuracy and complexity.
Language eng
DOI 10.1007/s40815-016-0236-3
Field of Research 0102 Applied Mathematics
0802 Computation Theory And Mathematics
0801 Artificial Intelligence And Image Processing
Socio Economic Objective 0 Not Applicable
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30096913

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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