Dealing with missing data for the power load studies using Support Vector Regression (SVR)
Đã lưu trong:
| Teanga: | vie |
|---|---|
| Rochtain Ar Líne: | https://dlib.udn.vn/module/chi-tiet-sach?RecordID=8385 |
| Clibeanna: |
Cuir Clib Leis
Gan Chlibeanna, Bí ar an gcéad duine leis an taifead seo a chlibeáil!
|
| Thư viện lưu trữ: | Trung tâm Công nghệ thông tin và Học liệu số, Đại học Đà Nẵng |
|---|
Míreanna Comhchosúla
-
HANDLING MISSING DATA USING STANDARDIZED LOAD PROFILE (SLP) AND SUPPORT VECTOR REGRESSION (SVR)
le: Nguyễn, Tuấn Dũng, et al.
Foilsithe: (2023) -
Subsample ignorable likelihood for regression analysis with missing data /
le: Little, Roderick J. -
A soft-sensing model for feedwater flow rate using fuzzy support vector regression /
le: Na, Man-Gyun. - A hybrid correction technique of missing load data based on time series analysis /
-
Impact of missing data on the detection of differential item functioning : The case of Mantel-Haenszel and logistic regression analysis /
le: Robitzsch, Alexander.