[Jiang, Liang; Kang, Zhen; Zeng, Shan] Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan, Hubei, Peoples R China.
[Bai, Jun] Wuhan Text Univ, Coll Math & Comp Sci, Wuhan, Hubei, Peoples R China.
通讯机构：
[Zeng, Shan] W
Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan, Hubei, Peoples R China.
语种：
英文
期刊：
IEEE International Fuzzy Systems Conference. Proceedings
ISSN：
1544-5615
年：
2017
页码：
1-6
会议名称：
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
会议论文集名称：
IEEE International Conference on Fuzzy Systems
会议时间：
JUL 09-12, 2017
会议地点：
Naples, ITALY
会议主办单位：
[Zeng, Shan;Jiang, Liang;Kang, Zhen] Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan, Hubei, Peoples R China.^[Bai, Jun] Wuhan Text Univ, Coll Math & Comp Sci, Wuhan, Hubei, Peoples R China.
会议赞助商：
IEEE, IEEE Computat Intelligence Soc, European Soc Fuzzy Log & Technol, BT, Univ Degli Studi Napoli Frederico II, Univ Degli Studi Napoli Frederico II, Fisica Ettore Pancini
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61303116]
机构署名：
本校为第一且通讯机构
院系归属：
数学与计算机学院
摘要：
The classical fuzzy discriminant analysis with kernel methods (KFDA) is an effective method of solving nonlinearity pattern analysis problem. In some complicated cases, the kernel machine constituted by a single kernel function is not able to meet some practical application requirements, such as heterogeneous information or unnormalised data, non-flat distribution of samples, etc. By searching for an appropriate linear combination of base kernel functions or matrices, multiple kernel learning (MKL) is able to improve the performance in some extent. So it is a necessary choice to introduce mult...
