Kernel Regression Trees
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Summary
A novel method for learning in domains with continuous target variables that integrates regression trees with kernel regression models, which reveals the superiority of kernel regression trees when compared to the two individual approaches.
- Type
- article
- Published
- 2007-01-01
- Cited by
- 12
- References
- 52
- OpenAlex
- https://openalex.org/W6404606
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15039283
Keywords
Kernel (algebra), Kernel regression, Principal component regression, Regression, Artificial intelligence
References
- Stacked generalization
- Multiresolution Instance-Based Learning
- Second Tier for Decision Trees
- A study of instance-based algorithms for supervised learning tasks: mathematical, empirical, and psychological evaluations
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- Rule-Based Regression
- C4.5: Programs for Machine Learning (書評)
- The Feature Selection Problem: Traditional Methods and a New Algorithm
- DATA FITTING WITH RULE-BASED REGRESSION
- Rule-based Machine Learning Methods for Functional Prediction
- A study of distance-based machine learning algorithms
- A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
- Discriminatory Analysis - Nonparametric Discrimination: Consistency Properties
- On Estimating Regression
- Unifying Instance-Based and Rule-Based Induction
- Instance‐based prediction of real‐valued attributes
- A decision-theoretic generalization of on-line learning and an application to boosting
- Local Regression: Automatic Kernel Carpentry
- Robust Locally Weighted Regression and Smoothing Scatterplots
Cited by
- Avaliação e Controlo de Segurança de Redes Interligadas com Grande Penetração Eólica com base em Métodos de Aprendizagem Automática
- The curse of dimension in nonparametric regression
- Improving prediction models applied in systems monitoring natural hazards and machinery
- Learning pairwise image similarities for multi-classification using Kernel Regression Trees
- High-Speed Function Approximation
- Data Management Techniques for Fast Function Approximation
- The Shape of Learning Curves: A Review
- An exploratory analysis of regression methods for predicting faults in software systems
- Partition Tree Ensembles for Improving Multi-Class Classification
- Avaliação e Controlo de Segurança de Redes Interligadas com Grande Penetração Eólica com base em Métodos de Aprendizagem Automática
- Classification and regression trees clarify the role of epistasis and environment in genotype–phenotype maps
- Health Care System for Lung Disease Classification using Modified Gini
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