Supervised learning via ensembles of diverse functional representations: the functional voting classifier

DOI10.1007/S11222-024-10503-8MaRDI QIDQ6643227

E. Romano, Donato Riccio, Fabrizio Maturo

Publication date: 26 November 2024

Published in: Statistics and Computing (Search for Journal in Brave)

zbMATH Keywords

smoothingsupervised classificationensemble learningFDAfunctional voting classifier

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Greedy function approximation: A gradient boosting machine.
• Bagging predictors
• A partial overview of the theory of statistics with functional data
• Recent advances in functional data analysis and related topics. Selected papers based on the presentations at the international workshop on functional and operatorial statistics (IWFOS'2011), Santander, Spain, June 16--18, 2011.
• Curves discrimination: a nonparametric functional approach
• Classifying densities using functional regression trees: applications in oceanology
• Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
• Applied functional data analysis. Methods and case studies
• Grouped variable importance with random forests and application to multiple functional data analysis
• Random forest-based approach for physiological functional variable selection for driver's stress level classification
• Spatial functional normal mixed effect approach for curve classification
• Functional data analysis.
• Nonparametric functional data analysis. Theory and practice.
• On calculating with B-splines
• Random forests
• Supervised classification of curves via a combined use of functional data analysis and tree-based methods
• Pooling random forest and functional data analysis for biomedical signals supervised classification: theory and application to electrocardiogram data

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