Results 1 to 10 of about 5,039,055 (202)
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
Sergey Kucheryavskiy +3 more
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NeuroImage, 2021 Multi-Voxel Pattern Analysis (MVPA) is a well established tool to disclose weak, distributed effects in brain activity patterns. The generalization ability is assessed by testing the learning model on new, unseen data. However, when limited data is available, the decoding success is estimated using cross-validation.
Elia Formisano +2 more
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Cross-Validation Visualized: A Narrative Guide to Advanced Methods
Machine Learning and Knowledge ExtractionThis study delves into the multifaceted nature of cross-validation (CV) techniques in machine learning model evaluation and selection, underscoring the challenge of choosing the most appropriate method due to the plethora of available variants.
Johannes Allgaier, Rüdiger Pryss
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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.
Jiawei Zhang 0007 +2 more
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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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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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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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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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