| ชื่อเรื่อง | : | A novel ensemble classifier approach using weak classifier learning on overlapping clusters |
| นักวิจัย | : | Rahman, Ashfaqur. , Verma, Brijesh. |
| คำค้น | : | Neural networks (Computer science) , Applied research. , 890202 Application Tools and System Utilities. , 080108 Neural, Evolutionary and Fuzzy Computation. , 080109 Pattern Recognition and Data Mining. , Machine learning. , Pattern perception. , Ensemble classifiers -- Clustering -- Neural networks -- Machine learning |
| หน่วยงาน | : | Central Queensland University, Australia |
| ผู้ร่วมงาน | : | - |
| ปีพิมพ์ | : | 2553 |
| อ้างอิง | : | http://hdl.cqu.edu.au/10018/56349 |
| ที่มา | : | Rahman, A & Verma, B 2010, 'A novel ensemble classifier approach using weak classifier learning on overlapping clusters' in IEEE editors (eds.) 2010 IEEE World Congress on Computational Intelligence (IEEE WCCI 2010): International Joint Conference on Neural Networks (IJCNN), 18-23 July 2010, Barcelona, Spain, IEEE, USA, pp. 328-334, http://dx.doi.org/10.1109/IJCNN.2010.5596332 |
| ความเชี่ยวชาญ | : | - |
| ความสัมพันธ์ | : | 2010 IEEE World Congress on Computational Intelligence (IEEE WCCI 2010). International Joint Conference on Neural Networks (IJCNN), 18-23 July 2010, Barcelona, Spain. USA. : IEEE, 2010. p. 328-334 7 pages Refereed 9781424469178 (online) 9781424481262 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository. |
| ขอบเขตของเนื้อหา | : | - |
| บทคัดย่อ/คำอธิบาย | : | This paper presents a novel approach for creating and training of an ensemble classifier. The approach is based on creating atomic and non-atomic clusters at different levels, training of weak classifiers on overlapping clusters and fusion of their decisions. The subsets of data are obtained by clustering of original training data sets into multiple partitions. As each partition represents highly correlated patterns from different classes, the proposed approach trains weak classifiers on difficult–to–classify patterns and combines the decision at various levels. The approach is tested on six benchmark datasets from UCI machine learning repository. The results show that the proposed approach achieves better classification accuracy than the existing approaches. |
| บรรณานุกรม | : |
Rahman, Ashfaqur. , Verma, Brijesh. . (2553). A novel ensemble classifier approach using weak classifier learning on overlapping clusters.
กรุงเทพมหานคร : Central Queensland University, Australia. Rahman, Ashfaqur. , Verma, Brijesh. . 2553. "A novel ensemble classifier approach using weak classifier learning on overlapping clusters".
กรุงเทพมหานคร : Central Queensland University, Australia. Rahman, Ashfaqur. , Verma, Brijesh. . "A novel ensemble classifier approach using weak classifier learning on overlapping clusters."
กรุงเทพมหานคร : Central Queensland University, Australia, 2553. Print. Rahman, Ashfaqur. , Verma, Brijesh. . A novel ensemble classifier approach using weak classifier learning on overlapping clusters. กรุงเทพมหานคร : Central Queensland University, Australia; 2553.
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