The attribute-trend-similarity method to improve learning performance for small datasets
| Year of publication: |
1-15 April 2017
|
|---|---|
| Authors: | Li, Der-Chiang ; Lin, Wu-Kuo ; Lin, Liang-Sian ; Chen, Chien-Chih ; Huang, Wen-Ting |
| Published in: |
International journal of production research. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 160477-6. - Vol. 55.2017, 7/8 (1/15.4.), p. 1898-1913
|
| Subject: | small data-sets | trend similarities of attributes | virtual sample generation | triangular membership functions | forecasting accuracies | KMU | SME | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | Stichprobenerhebung | Sampling |
-
Rationality tests in the presence of instabilities in finite samples
El-Shagi, Makram, (2019)
-
A new approach for detecting shifts in forecast accuracy
Chiu, Ching Wai Jeremy, (2019)
-
Finite sample analysis of predictive regressions with long-horizon returns
Kan, Raymond, (2021)
- More ...
-
Employing virtual samples to build early high-dimensional manufacturing models
Li, Der-Chiang, (2013)
-
Employing virtual samples to build early high-dimensional manufacturing models
Li, Der-chiang, (2013)
-
A new approach to assess product lifetime performance for small data sets
Li, Der-chiang, (2013)
- More ...