Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Shengfeng Tian"'
Autor:
Fangchun Jiang, Shengfeng Tian
Publikováno v:
Cybernetics and Information Technologies, Vol 14, Iss 5, Pp 28-39 (2014)
To have simple and efficient confidence machine learning is an important focus in confidence machine researches. Using one class classifier as a tool, the paper applies it twice for two-class classification problems. Setting reject options and a mult
Externí odkaz:
https://doaj.org/article/4996b9a7b01940818d49965393aa3c60
Publikováno v:
Solid State Ionics. 289:194-198
The need of large-scale energy storage calls for the application of environmentally benign and economic sodium storage electrode materials. At present, most of the existing positive electrode materials for Na + -storage demonstrate many small plateau
Publikováno v:
Journal of Power Sources. 297:121-126
In our recent work, the solvent of ethylene carbonate (EC) has been found to retard the intercalation of anions into graphite electrodes. Here we demonstrate that gamma-butyrolactone (GBL) also exhibits suppressive effect on the intercalation of PF 6
Publikováno v:
Electrochimica Acta. 176:22-27
Anion graphite intercalation compounds are an excellent candidate for high-potential positive electrode materials. solvents play an important role during the intercalation processes of anions into graphite. in this contribution, the intercalation beh
Publikováno v:
Journal of Power Sources. 256:404-409
Tetramethyl ammonium difluoro(oxalato)borate (TMADFOB) dissolved in the mixed solvents of ethylene and propylene carbonates (EC/PC) instead of neat PC have been proposed as the electrolyte solutions for electrochemical capacitors. The ionic conductiv
Publikováno v:
Neural Processing Letters. 38:389-402
We present a fast multiclass classification algorithm to address the multiclass problems with a new clustering method, namely cooperative clustering. In the method of cooperative clustering, we iteratively compute the cluster centers of all classes s
Publikováno v:
IEICE Transactions on Information and Systems. :163-167
[Zhang, Junsan; Qu, Youli; Gong, Shu; Tian, Shengfeng] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China. [Sun, Haoliang] Chinese Acad Sci, Inst Software, Natl Key Lab Integrated Informat Syst, Beijing 100864, Peoples R Chi
Publikováno v:
Artificial Intelligence Review. 43:179-192
The success of kernel methods is very much dependent on the choice of kernel. Kernel design and learning a kernel from the data require evaluation measures to assess the quality of the kernel. In recent years, the notion of kernel alignment, which me
Publikováno v:
International Journal of Advancements in Computing Technology. 4:201-209
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 391:2475-2490
The detection of overlapping community structure in networks can give insight into the structures and functions of many complex systems. In this paper, we propose a simple but efficient overlapping community detection method for very large real-world