Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Chiao-Wen Liu"'
Autor:
Dah-Chin Luor, Chiao-Wen Liu
Publikováno v:
Fractal and Fractional, Vol 6, Iss 11, p 680 (2022)
One of the main tasks in the problems of machine learning and curve fitting is to develop suitable models for given data sets. It requires to generate a function to approximate the data arising from some unknown function. The class of kernel regressi
Externí odkaz:
https://doaj.org/article/1fec5ebce4794eebb93f951eb3bee79b
Autor:
Dah-Chin Luor, Chiao-Wen Liu
Publikováno v:
Computational & Applied Mathematics; Dec2024, Vol. 43 Issue 8, p1-12, 12p
Autor:
Chiao-Wen Liu, 劉巧文
96
Facing steep competition in the global market, the product of the life cycle is drastically decreased as technologies change much faster. It is a key factor for a successful company to present new products and technologies that combining R &
Facing steep competition in the global market, the product of the life cycle is drastically decreased as technologies change much faster. It is a key factor for a successful company to present new products and technologies that combining R &
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/79409037795141829700
Autor:
Dah-Chin Luor, Chiao-Wen Liu
Publikováno v:
Fractals.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bec11e43c7981b1084d76db7625dd283
https://doi.org/10.1142/s0218348x23400893
https://doi.org/10.1142/s0218348x23400893
Autor:
Dah-Chin Luor, Chiao-Wen Liu
Publikováno v:
The European Physical Journal Special Topics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c56421b480b742fd60e3e1eedcdeef84
https://doi.org/10.1140/epjs/s11734-023-00776-x
https://doi.org/10.1140/epjs/s11734-023-00776-x
Publikováno v:
International Journal of Production Research. 50:6679-6690
Constructing an accurate prediction model from a small training data set is an important but difficult task in the field of forecasting. This is because when the data size is small, the incomplete data may mean that the model produced cannot sufficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::075e56e5a05ab6f9c1f9048f3f2ba39a
https://doi.org/10.1080/00207543.2011.613867
https://doi.org/10.1080/00207543.2011.613867
Publikováno v:
Computers & Operations Research. 39:1117-1121
Repairable equipment requires preventive maintenance (PM) to maintain proper function. An appropriate PM strategy can extend the life of equipment and reduce variable costs. A power generation company in Taiwan that has a fixed-period PM strategy is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f860f248f775c8b3d8ea645cfbacbf9
https://doi.org/10.1016/j.cor.2011.06.016
https://doi.org/10.1016/j.cor.2011.06.016
Autor:
Der-Chiang Li, Chiao-Wen Liu
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 24:452-464
Data quantity is the main issue in the small data set problem, because usually insufficient data will not lead to a robust classification performance. How to extract more effective information from a small data set is thus of considerable interest. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::510d97bd52e96808ab86da768a6620dd
https://doi.org/10.1109/tkde.2010.254
https://doi.org/10.1109/tkde.2010.254
Publikováno v:
Expert Systems with Applications. 39:4020-4025
Determining manufacturing parameters for a new product is fundamentally a difficult problem, because there has little suggestion information. There are several researches on this topic, and most of them focus on single specific model or the engineer'
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42db1dfb2b08a09de2541a57b1f4bf1e
https://doi.org/10.1016/j.eswa.2011.09.067
https://doi.org/10.1016/j.eswa.2011.09.067
Publikováno v:
Decision Support Systems. 52:748-756
Small data set problems have been widely considered in many fields, where increasing the prediction ability is the most important goal. This study considers the data structure to identify new data points in a more precise manner, and is thus able to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aa2987af0d523ff0cef6c31f2ee1f3f
https://doi.org/10.1016/j.dss.2011.11.021
https://doi.org/10.1016/j.dss.2011.11.021