Results 11 to 20 of about 5,039,055 (202)
Cross-Validation With Confidence [PDF]
Journal of the American Statistical Association, 2019 Cross-validation is one of the most popular model selection methods in statistics and machine learning. Despite its wide applicability, traditional cross validation methods tend to select overfitting models, due to the ignorance of the uncertainty in the testing sample. We develop a new, statistically principled inference tool based on cross-validation
Jing Lei (682227)
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Land Surface Albedo Estimation and Cross Validation Based on GF-1 WFV Data
Atmosphere, 2022 The land surface albedo (LSA) represents the ability of the land surface to reflect solar radiation. It is one of the driving factors in the energy balance of land surface radiation and in land–air interactions.
Zhe Wang +4 more
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Frontiers in Plant Science, 2023 Unreplicated field trials and genomic prediction are both used to enhance the efficiency in early selection stages of a hybrid maize breeding program. No results are available on the optimal experimental design when combining both approaches.
Jérôme Terraillon +3 more
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Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 Cross-validation (CV) is the most widely adopted approach for selecting the optimal model. However, the computation of CV has high complexity due to multiple times of learner training, making it disabled for large scale model selection. In this paper, we present an approximate approach to CV based on the theoretical notion of Bouligand influence ...
Yong Liu 0018 +4 more
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ercbk/nested-cross-validation-comparison: v1.0
, 2021 Experimenting with various implementations and methods of nested cross-validation in R and ...
Eric Book
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The generalized cross validation filter [PDF]
Automatica, 2018 Generalized cross validation (GCV) is one of the most important approaches used to estimate parameters in the context of inverse problems and regularization techniques. A notable example is the determination of the smoothness parameter in splines. When the data are generated by a state space model, like in the spline case, efficient algorithms are ...
Bottegal, Giulio, Pillonetto, Gianluigi
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PENAKSIRAN FUNGSI DENSITAS TIPE KERNEL DENGAN METODE CROSS-VALIDATION (C-V)
Barekeng, 2007 The choice of the bandwidth h is the main problem of kernel density function. In some situations it might be quite useful to have a set of retes corresponding to different bandwidth.It is necessary to agree which bandwidth is an appropriate one.
Mozart W. Talakua
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Edumatic, 2022 There are several issues with Social Security Organizing Agency (BPJS) employment at the moment, one of which is contribution receivable. To reduce the BPJS contribution receivables, BPJS has done various ways.
Devi Efriadi +3 more
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Cells, 2019 Identifying the interactions between disease and microRNA (miRNA) can accelerate drugs development, individualized diagnosis, and treatment for various human diseases. However, experimental methods are time-consuming and costly.
Chunyan Li +4 more
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Geostatistical-based geophysical model of electrical resistivity and chargeability data applied to image copper mineralization in the Ghalandar deposit, Iran [PDF]
International Journal of Mining and Geo-Engineering, 2020 This research aims to construct 3D geophysical models of electrical resistivity and induced polarization by interpolating 2D inverted physical models through the geostatistical approach.
Siavash Salarian +3 more
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