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ada: An R Package for Stochastic Boosting [PDF]
Journal of Statistical Software, 2006 Boosting is an iterative algorithm that combines simple classification rules with ‘mediocre’ performance in terms of misclassification error rate to produce a highly accurate classification rule. Stochastic gradient boosting provides an enhancement which
Mark Culp +2 more
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Genomic Selection for Cashmere Traits in Inner Mongolian Cashmere Goats Using Random Forest, Gradient Boosting Decision Tree, Extreme Gradient Boosting and Light Gradient Boosting Machine Methods [PDF]
AnimalsIn recent years, Machine Learning (ML) has garnered increasing attention for its applications in genomic prediction. ML effectively processes high-dimensional genomic data and establishes nonlinear models.
Jiaqi Liu +5 more
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Design of Automatic Tool for Diagnosis of Pneumonia Using Boosting Techniques [PDF]
Brazilian Archives of Biology and Technology, 2022 Covid-19 is today's pandemic disease and can cause the hospital crowded. Additionally, It affects the lungs and may cause pneumonia. The most popular technique for diagnosis of pneumonia is the evaluation of X-ray.
Seda Postalcioglu
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Journal of Biostatistics and Epidemiology, 2023 Introduction: The present study discusses the importance of having a predictive method to determine the prognosis of patients with diseases like Covid-19.
Nadiasadat Taghavi Razavizadeh +4 more
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Engineering Reports, 2023 The implementation of tree‐ensemble models has become increasingly essential in solving classification and prediction problems. Boosting ensemble techniques have been widely used as individual machine learning algorithms in predicting house prices.
Racheal Sibindi +2 more
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Perbandingan Metode Ensemble Learning pada Klasifikasi Penyakit Diabetes
Jurnal Masyarakat Informatika, 2022 Diabetes merupakan salah satu penyakit dalam dunia medis yang ditandai dengan kadar gula dalam darah yang tinggi pada penderitanya. Menurut data dari Organisasi Kesehatan Dunia (WHO), pada rentang tahun 1980 sampai 2014, terjadi peningkatan kasus ...
Linggar Maretva Cendani, Adi Wibowo
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Accurate Biometric Palm Print Recognition Using ResNet50 algorithm Over X Gradient Boosting Algorithm [PDF]
E3S Web of Conferences, 2023 The aim of this research is to enhance the accuracy of biometric palm print identification by using the Novel ResNet50 Algorithm as compared to the X Gradient Boosting. Materials and Methods: In this study, the ResNet50 and X Gradient Boosting algorithms
Kumar H. Kishore, Kumar S. Ashok
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Soil moisture (SM) plays a critical role in various fields such as agriculture, hydrology, and land-atmosphere interactions. This study aims to evaluate the performance of the categorical boosting algorithm (CatBoost) in comparison to other multiple ...
Ya Gao +4 more
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AddGBoost: A gradient boosting-style algorithm based on strong learners
Machine Learning with Applications, 2022 We present AddGBoost, a gradient boosting-style algorithm, wherein the decision tree is replaced by a succession of (possibly) stronger learners, which are optimized via a state-of-the-art hyperparameter optimizer.
Moshe Sipper, Jason H. Moore
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G3: Genes, Genomes, Genetics, 2022 We compared the performance of linear (GBLUP, BayesB, and elastic net) methods to a nonparametric tree-based ensemble (gradient boosting machine) method for genomic prediction of complex traits in mice. The dataset used contained genotypes for 50,112 SNP
Bruno C Perez +4 more
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