A non parametric Partial Histogram Bayes learning algorithm for classification applications

Haider O. Lawend, Anuar Mikdad Muad

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

2 Citations (Scopus)

Abstract

In many applications such as dealing with database, continuous environment and humanoid robots, the machine often deals with large amount of data every day of work. Dealing with large amount of data requires fast as well as accurate learning algorithms to do the classification. A new supervised non parametric Partial Histogram Bayes learning algorithm (PHBayes) is proposed and presented in this paper. The proposed algorithm was tested on image database and compared with other standard algorithms like Naïve Bayes, Gaussian Mixture Model based Classifier, 1st Nearest Neighbor and Nearest Class Mean for classification purpose. The experimental results showed that the proposed algorithm is faster as well as more accurate compare with other algorithms, which makes it worthy to be considered in classification applications.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages35-39
Number of pages5
ISBN (Print)9781479956869
DOIs
Publication statusPublished - 30 Mar 2014
Event4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014 - Batu Ferringhi, Penang, Malaysia
Duration: 28 Nov 201430 Nov 2014

Other

Other4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014
CountryMalaysia
CityBatu Ferringhi, Penang
Period28/11/1430/11/14

Fingerprint

Learning algorithms
Classifiers
Robots

Keywords

  • Bayesian algorithm
  • class histogram representation
  • classification
  • non parametric algorithm

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Control and Systems Engineering

Cite this

Lawend, H. O., & Muad, A. M. (2014). A non parametric Partial Histogram Bayes learning algorithm for classification applications. In Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014 (pp. 35-39). [7072685] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSCE.2014.7072685

A non parametric Partial Histogram Bayes learning algorithm for classification applications. / Lawend, Haider O.; Muad, Anuar Mikdad.

Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 35-39 7072685.

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

Lawend, HO & Muad, AM 2014, A non parametric Partial Histogram Bayes learning algorithm for classification applications. in Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014., 7072685, Institute of Electrical and Electronics Engineers Inc., pp. 35-39, 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014, Batu Ferringhi, Penang, Malaysia, 28/11/14. https://doi.org/10.1109/ICCSCE.2014.7072685
Lawend HO, Muad AM. A non parametric Partial Histogram Bayes learning algorithm for classification applications. In Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 35-39. 7072685 https://doi.org/10.1109/ICCSCE.2014.7072685
Lawend, Haider O. ; Muad, Anuar Mikdad. / A non parametric Partial Histogram Bayes learning algorithm for classification applications. Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 35-39
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