Results 1 to 10 of about 81,893 (169)
SSRN Electronic Journal, 2007 Bagging has been found to be successful in increasing the predictive performance of unstable classifiers. Bagging draws bootstrap samples from the training sample, applies the classifier to each bootstrap sample, and then averages over all obtained ...
Croux, Christophe +2 more
core +6 more sources
UPLC-MS/MS-based analysis of the effect of bagging on polyphenols in apple varieties and metabolomic characterization before and after bag removal [PDF]
Food Chemistry: XWith the increasing cost of bagging cultivation, non-bagging cultivation has become an important direction for green and sustainable development. In this study, the most representative ‘Fuji’ and ‘Ralls’ apple varieties were used as test materials to ...
Wen Tian +10 more
doaj +2 more sources
Preharvest fruit bagging time regulates postharvest quality and shelf life of dragon fruit (Hylocereus spp.) [PDF]
International Journal of Minor Fruits, Medicinal and Aromatic Plants, 2021 Appropriate bagging time is imperative for effective use of fruit bagging technology in safe fruit production. A study was conducted at the Germplasm Centre of Bangladesh Agricultural University (BAU-GPC), Mymensingh during May 2018 to September 2019 ...
Md. Mokter Hossain1
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Model Balanced Bagging Berbasis Decision Tree Pada Dataset Imbalanced Class
Jurnal Sisfokom, 2023 Algoritma klasifikasi merupakan algoritma yang sangat sering digunakan beriringan dengan kebutuhan manusia, namun peneliti an sebelumnya sering dijumpai kendala saat menggunakan algoritma klasifikasi.
Yoga Pristyanto, Aditya Ahmad Zein
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Acta Agriculturae Slovenica, 2023 Gamboge disorder has a detrimental effect on mangosteen. The leakage of the gamboge may result from water availability. Thus, modifying the transpiration of the fruit by bagging might minimize the inappropriate leak of the gamboge produced by the fruit ...
Ajmir AKMAL +3 more
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Artificial Intelligence in Geosciences, 2022 The aim of the current work is to compare susceptibility maps of landslides produced using machine learning techniques i.e. multilayer perception neural nets (MLP), kernel logistic regression (KLR), random forest (RF), and multivariate adaptive ...
Anik Saha, Sunil Saha
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Horticulturae, 2022 To explore the effect of bagging on the nutritional quality and color of kiwifruit (Actinidia spp.), the fruits of yellow-fleshed kiwifruit cultivars were analyzed after bagging treatment.
Yunhe Xu +9 more
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BMC Microbiology, 2022 Background Fruit bagging is an effective technique for fruit protection in the orchard management. Bagging can create a micro-environment for fruit growth and affect fruit quality during storage, in which the diversity of microorganisms may play an ...
Congcong Gao +6 more
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Ilkom Jurnal Ilmiah, 2023 Human Activity Recognition is technology introduced to recognize human activities. Several technologies that have been applied are Accelerometer sensors, Gyroscope sensors, Cameras, and GPS. The selection of the Support Vector Machine algorithm is due to
Supriyadi La Wungo +4 more
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Transferring CNN Features Maps to Ensembles of Explainable Neural Networks
Information, 2023 The explainability of connectionist models is nowadays an ongoing research issue. Before the advent of deep learning, propositional rules were generated from Multi Layer Perceptrons (MLPs) to explain how they classify data.
Guido Bologna
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