„Boosting algorithm“
Suchergebnisse
1.000+ Treffer
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Explainable boosting algorithms: sparse-group and interaction-aware variable selection in complex data
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Chemical Descriptors Are More Important Than Learning Algorithms for Modelling
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Scavager: A Versatile Postsearch Validation Algorithm for Shotgun Proteomics Based on Gradient Boosting
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Demystifying uncertainty in PM10 susceptibility mapping using variable drop-off in extreme-gradient boosting (XGB) and random forest (RF) algorithms
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Boosting algorithms for predicting the bond properties of timber and fiber reinforced polymer (FRP) under thermal cycling using single-lap shear tests
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Boosting Archimedes optimization algorithm using trigonometric operators based on feature selection for facial analysis
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An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost
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A novel confidence-based multiclass boosting algorithm for mobile physical activity monitoring
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Machine Learning for an Enhanced Credit Risk Analysis – A Comparative Study of Loan Approval Prediction Models Integrating Mental Health Data
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Modeling and recognition of steel-plate surface defects based on a new backward boosting algorithm
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A boosting algorithms approach to thermal and physico-chemical properties of contaminated sandy loam soils
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An enhanced sine cosine algorithm based light gradient boosting machine for occupation injury outcome prediction
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Enhancing crop yield prediction based on dove optimization algorithm and gradient boosting model
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Boosting algorithms for predicting end-point temperature in BOF steelmaking using big industrial datasets
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Cervical cancer prognosis using genetic algorithm and adaptive boosting approach
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Machine and deep learning in present actuarial challenges
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Optimierung von Algorithmen zur Videoanalyse – Ein Analyseframework für die Anforderungen lokaler Fernsehsender
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Machine learning in economics
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Erweiterung inferenzstatistischer Fähigkeiten modellbasierter Gradient-Boosting Algorithmen
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A statistical perspective on machine learning: three essays on improvement, application and interpretation of predictive algorithms