Multi-kernel learning for multivariate performance measures optimization

doi:10.1007/s00521-015-2164-9

NTSC-IR

	Multi-kernel learning for multivariate performance measures optimization
	Lin, Fan 1; Wang, Jingbin 2,3; Zhang, Nian 4; Xiahou, Jianbing 1; McDonald, Nancy 5
	2017-08-01
发表期刊	NEURAL COMPUTING & APPLICATIONS
ISSN	0941-0643
卷号	28 期号:8 页码:2075-2087
摘要	In this paper, we investigate the problem of optimizing complex multivariate performance measures to learn classifiers for pattern classification problems. For the first time, the multi-kernel learning is considered to construct a classifier to optimize a given nonlinear and non-smooth multivariate classifier performance measure. We estimate and optimize the upper bound of the given multivariate performance measure, instead of optimizing it directly. Moreover, to solve the problem of kernel function selection and kernel parameter tuning, we proposed to construct an optimal kernel by weighted linear combination of some candidate kernels. The learning of the classifier parameter and the kernel weight are unified in a single objective function considering minimizing the upper bound of the given multivariate performance measure. The objective function is optimized with regard to classifier parameter and kernel weight alternately in an iterative algorithm. The developed algorithm is evaluated on two different pattern classification methods with regard to various multivariate performance measure optimization problems. The experiment results show the proposed algorithm outperforms the competing methods.
关键词	Pattern classification Multivariate performance measures Multi-kernel learning Alternate optimization Cutting plane algorithm
DOI	10.1007/s00521-015-2164-9
关键词[WOS]	KERNEL ; CLASSIFICATION ; PREDICTION ; RECOGNITION ; ALGORITHMS ; ACCURACY
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000405528300014
出版者	SPRINGER
引用统计
文献类型	期刊论文
条目标识符	http://210.72.145.45/handle/361003/11404
专题	中国科学院国家授时中心
通讯作者	Xiahou, Jianbing
作者单位	1.Xiamen Univ, Software Sch, Xiamen 361005, Peoples R China 2.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China 3.Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China 4.Xiamen Univ Technol, Xiamen 361024, Peoples R China 5.Tulane Univ, Dept Comp Sci, New Orleans, LA 70118 USA
推荐引用方式 GB/T 7714	Lin, Fan,Wang, Jingbin,Zhang, Nian,et al. Multi-kernel learning for multivariate performance measures optimization[J]. NEURAL COMPUTING & APPLICATIONS,2017,28(8):2075-2087.
APA	Lin, Fan,Wang, Jingbin,Zhang, Nian,Xiahou, Jianbing,&McDonald, Nancy.(2017).Multi-kernel learning for multivariate performance measures optimization.NEURAL COMPUTING & APPLICATIONS,28(8),2075-2087.
MLA	Lin, Fan,et al."Multi-kernel learning for multivariate performance measures optimization".NEURAL COMPUTING & APPLICATIONS 28.8(2017):2075-2087.