Enhanced piecewise regression based on deterministic annealing
文献类型：SCI/SSCI论文
| 作者 | Zhang J. S. ; Yang Y. Q. ; Chen X. W. ; Zhou C. H. |
| 发表日期 | 2008 |
| 关键词 | statistical regression piecewise regression deterministic annealing generalization design |
| 英文摘要 | Regression is one of the important problems in statistical learning theory. This paper proves the global convergence of the piecewise regression algorithm based on deterministic annealing and continuity of global minimum of free energy w.r.t temperature, and derives a new simplified formula to compute the initial critical temperature. A new enhanced piecewise regression algorithm by using "migration of prototypes" is proposed to eliminate "empty cell" in the annealing process. Numerical experiments on several benchmark datasets show that the new algorithm can remove redundancy and improve generalization of the piecewise regression model. |
| 出处 | Science in China Series F-Information Sciences |
| 卷 | 51 |
| 期 | 8 |
| 页 | 1025-1038 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1009-2757 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/22405]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Zhang J. S.,Yang Y. Q.,Chen X. W.,et al. Enhanced piecewise regression based on deterministic annealing. 2008. |
入库方式： OAI收割
来源：地理科学与资源研究所
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