COMBINING CLASSIFIER GUIDED BY SEMI-SUPERVISION

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MOHAMADI MOHAMAD; PARVIN HAMID; FARAJI ESHAGH; PARVIN SAJAD

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Journal Paper

Paper Information

Journal: JOURNAL OF ADVANCES IN COMPUTER RESEARCH Year:2017 | Volume:8 | Issue:1 (27) Page(s): 27-50

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Information Journal Paper

Title

COMBINING CLASSIFIER GUIDED BY SEMI-SUPERVISION

Author(s)

MOHAMADI MOHAMAD | PARVIN HAMID | FARAJI ESHAGH | PARVIN SAJAD | Issue Writer Certificate

Keywords

SEMI-SUPERVISED LEARNING

ENSEMBLE LEARNING

CLASSIFIER ENSEMBLE

Abstract

The article suggests an algorithm for regular CLASSIFIER ENSEMBLE methodology. The proposed methodology is based on possibilistic aggregation to classify samples. The argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. The optimization aims at learning backgrounds as solid clusters in subspaces of the high-dimensional feature-space via an unsupervised learning including an attribute discrimination component. The unsupervised clustering component assigns degree of typicality to each data pattern in order to identify and reduce the effect of noisy or outlaid data patterns. Then, the suggested technique obtains the best combination parameters for each background. The experimentations on artificial datasets and standard SONAR dataset demonstrate that our CLASSIFIER ENSEMBLE does better than individual classifiers in the ensemble.

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APA: Copy

MOHAMADI, MOHAMAD, PARVIN, HAMID, FARAJI, ESHAGH, & PARVIN, SAJAD. (2017). COMBINING CLASSIFIER GUIDED BY SEMI-SUPERVISION. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 8(1 (27)), 27-50. SID. https://sid.ir/paper/328862/en

Vancouver: Copy

MOHAMADI MOHAMAD, PARVIN HAMID, FARAJI ESHAGH, PARVIN SAJAD. COMBINING CLASSIFIER GUIDED BY SEMI-SUPERVISION. JOURNAL OF ADVANCES IN COMPUTER RESEARCH[Internet]. 2017;8(1 (27)):27-50. Available from: https://sid.ir/paper/328862/en

IEEE: Copy

MOHAMAD MOHAMADI, HAMID PARVIN, ESHAGH FARAJI, and SAJAD PARVIN, “COMBINING CLASSIFIER GUIDED BY SEMI-SUPERVISION,” JOURNAL OF ADVANCES IN COMPUTER RESEARCH, vol. 8, no. 1 (27), pp. 27–50, 2017, [Online]. Available: https://sid.ir/paper/328862/en

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