Results 1 to 10 of about 2,623,133 (264)
Procrustes Cross-Validation — a Bridge Between Cross-Validation and Independent Validation Set [PDF]
Analytical Chemistry, 2020 In this paper we propose a new approach for validation of chemometric models. It is based on k-fold cross-validation algorithm, but, in contrast to conventional cross-validation, our approach makes possible to create a new dataset, which carries sampling uncertainty estimated by the cross-validation procedure. This dataset, called pseudo-validation set,
Sergey Kucheryavskiy +3 more
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Bernoulli, 2023 In many applications, we have access to the complete dataset but are only interested in the prediction of a particular region of predictor variables. A standard approach is to find the globally best modeling method from a set of candidate methods. However, it is perhaps rare in reality that one candidate method is uniformly better than the others.
Zhang, Jiawei, Ding, Jie, Yang, Yuhong
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Sensors, 2023 In passive BCI studies, a common approach is to collect data from mental states of interest during relatively long trials and divide these trials into shorter “epochs” to serve as individual samples in classification.
Jacob White, Sarah D. Power
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Prediksi Dini Penyakit Preeklamsia Menggunakan Algoritma C4.5
Jurnal Sarjana Teknik Informatika, 2022 Berdasarkan data Kemenkes RI tahun 2021menunjukkan angka kematian ibu tinggi yaitu lebih dari 4000 kasus setiap tahunnya dimana salah satu penyebabnya adalah preeklamsia.
Siti Nurrohmah, Dwi Normawati
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Journal of Applied Informatics and Computing, 2022 The problem that occurs in the application of K-Nearest Neighbors as a classification algorithm is the frequent occurrence of overfitting in data processing.
Aditya Budi Prasetyo +1 more
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Applied Sciences, 2020 The leave-one-out cross validation (LOO-CV), which is a model-independent evaluate method, cannot always select the best of several models when the sample size is small.
Liye Lv, Xueguan Song, Wei Sun
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New Partially Linear Regression and Machine Learning Models Applied to Agronomic Data
Axioms, 2023 Regression analysis can be appropriate to describe a nonlinear relationship between the response variable and the explanatory variables. This article describes the construction of a partially linear regression model with two systematic components based ...
Gabriela M. Rodrigues +2 more
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Deriving regional pedotransfer functions to estimate soil bulk density in Austria
Die Bodenkultur, 2021 Soil bulk density is a required variable for quantifying stocks of elements in soils and is therefore instrumental for the evaluation of land-use related climate change mitigation measures. Our motivation was to derive a set of pedotransfer functions for
Foldal Cecilie +3 more
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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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