Voting based extreme learning machine
This paper proposes an improved learning algorithm for classification which is referred to as voting based extreme learning machine. The proposed method incorporates the voting method into the popular extreme learning machine (ELM) in classification applications. Simulations on many real world class...
| Үндсэн зохиолчид: | , , , |
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| Бусад зохиолчид: | |
| Формат: | Journal Article |
| Хэл сонгох: | English |
| Хэвлэсэн: |
2013
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| Нөхцлүүд: | |
| Онлайн хандалт: | https://hdl.handle.net/10356/100354 http://hdl.handle.net/10220/13604 |
| _version_ | 1826119344601432064 |
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| author | Cao, Jiuwen Lin, Zhiping Huang, Guang-Bin Liu, Nan |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Cao, Jiuwen Lin, Zhiping Huang, Guang-Bin Liu, Nan |
| author_sort | Cao, Jiuwen |
| collection | NTU |
| description | This paper proposes an improved learning algorithm for classification which is referred to as voting based extreme learning machine. The proposed method incorporates the voting method into the popular extreme learning machine (ELM) in classification applications. Simulations on many real world classification datasets have demonstrated that this algorithm generally outperforms the original ELM algorithm as well as several recent classification algorithms. |
| first_indexed | 2024-10-01T04:58:25Z |
| format | Journal Article |
| id | ntu-10356/100354 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:58:25Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1003542020-03-07T14:00:33Z Voting based extreme learning machine Cao, Jiuwen Lin, Zhiping Huang, Guang-Bin Liu, Nan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This paper proposes an improved learning algorithm for classification which is referred to as voting based extreme learning machine. The proposed method incorporates the voting method into the popular extreme learning machine (ELM) in classification applications. Simulations on many real world classification datasets have demonstrated that this algorithm generally outperforms the original ELM algorithm as well as several recent classification algorithms. 2013-09-23T08:00:20Z 2019-12-06T20:21:00Z 2013-09-23T08:00:20Z 2019-12-06T20:21:00Z 2011 2011 Journal Article Cao, J., Lin, Z., Huang, G.-B., & Liu, N. (2011). Voting based extreme learning machine. Information Sciences, 185(1), 66–77. https://hdl.handle.net/10356/100354 http://hdl.handle.net/10220/13604 10.1016/j.ins.2011.09.015 en Information sciences |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Cao, Jiuwen Lin, Zhiping Huang, Guang-Bin Liu, Nan Voting based extreme learning machine |
| title | Voting based extreme learning machine |
| title_full | Voting based extreme learning machine |
| title_fullStr | Voting based extreme learning machine |
| title_full_unstemmed | Voting based extreme learning machine |
| title_short | Voting based extreme learning machine |
| title_sort | voting based extreme learning machine |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/100354 http://hdl.handle.net/10220/13604 |
| work_keys_str_mv | AT caojiuwen votingbasedextremelearningmachine AT linzhiping votingbasedextremelearningmachine AT huangguangbin votingbasedextremelearningmachine AT liunan votingbasedextremelearningmachine |