Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shi Ping Tang"'
Autor:
Shi-Ping Tang, Yu-Mei Huang
Publikováno v:
Numerical Algorithms. 92:1311-1333
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a3aa50f3af24ebda9420dddebed7146
https://doi.org/10.1007/s11075-022-01341-8
https://doi.org/10.1007/s11075-022-01341-8
Autor:
Shi-Ping Tang, Yu-Mei Huang
Publikováno v:
Computational and Applied Mathematics. 40
The optimal control problem constrained by a fractional diffusion equation arises in a great deal of applications. Fast and efficient numerical methods for solving such kinds of problems have attracted much attention in recent years. In this paper, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df0c72856d45a28cfc4f85e45574bfd6
https://doi.org/10.1007/s40314-021-01654-9
https://doi.org/10.1007/s40314-021-01654-9
Autor:
Shi-Ping Tang, Yu-Mei Huang
Publikováno v:
Applied Mathematics Letters. 131:108022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d3bb83c8f4b04839330402f77d8dab1
https://doi.org/10.1016/j.aml.2022.108022
https://doi.org/10.1016/j.aml.2022.108022
Publikováno v:
Proceedings of the 2nd International Conference On Systems Engineering and Modeling.
In this paper, we propose new keywords extraction method based on texts classification. We first classify texts to determine their categories. Then determine weights of candidate words according to both their frequency and the relevance between text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e12bec19dbba962f36efce67732797e
https://doi.org/10.2991/icsem.2013.150
https://doi.org/10.2991/icsem.2013.150
Publikováno v:
2007 International Conference on Machine Learning and Cybernetics.
In digital libraries, the traditional retrieval methods cannot efficiently retrieve uncertain concepts, and traditional evaluation methods have disadvantages on algorithm measures. To overcome above disadvantages, this paper proposes two new methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee26e78eddb5b3aafb87e2747db4b291
https://doi.org/10.1109/icmlc.2007.4370822
https://doi.org/10.1109/icmlc.2007.4370822
Publikováno v:
2006 International Conference on Machine Learning and Cybernetics.
The currently similarity computation methods of Chinese sentence and their shortcomings are analyzed at first. According to the characteristic of the Chinese question sentence, Chinese question general chunk and special chunk are defined, and then a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a673cee1a4f860653908cfc3dd65c39
https://doi.org/10.1109/icmlc.2006.258809
https://doi.org/10.1109/icmlc.2006.258809
Publikováno v:
2005 International Conference on Machine Learning and Cybernetics.
In document retrieval, query words expansion is normally based on semantic relation of query words. While using natural language questions to retrieve documents, because of more abundant semantic relation of question than that of query words, the pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ef253f9046cdf9426cad8039a549f73
https://doi.org/10.1109/icmlc.2005.1526922
https://doi.org/10.1109/icmlc.2005.1526922
Publikováno v:
Se pu = Chinese journal of chromatography. 20(4)
A gas chromatographic method was developed to directly determine the enantiomers of acrylic ketone alcohol and acrylic ketone acetate. Two pairs of enantiomers were nearly baseline-separated by using Model HP-5890 Gas Chromatograph with flame ionizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::acb1528483ca32c4a6265359be5e264b
https://pubmed.ncbi.nlm.nih.gov/12541924
https://pubmed.ncbi.nlm.nih.gov/12541924
Publikováno v:
2007 International Conference on Machine Learning & Cybernetics; 2007, p3876-3879, 4p