Data complexity meta-features for regression problems
type: Item
instance of: scholarly article
published in: Machine Learning
volume: 107
issue: 1
page(s): 209-246
publication date: 2017-12-21T00:00:00Z
publication date: 2018-04-03T00:00:00Z
author: Ana C. Lorena
author: Aron I. Maciel
author: Péricles B. C. De Miranda
author: Ivan G. Costa
author: Ricardo B. C. Prudêncio
author: Péricles B. C. de Miranda
author: Ana Carolina Lorena
title: Data complexity meta-features for regression problems
zbMATH Open document ID: 1462.62392
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62J02
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6855217
zbMATH Keywords: meta-learning
zbMATH Keywords: meta-features
zbMATH Keywords: complexity measures
Wikidata QID: Q62764519
describes a project that uses: UCI-ml
describes a project that uses: Auto-WEKA
describes a project that uses: Scikit
MaRDI profile type: Publication
full work available at URL: s10994-017-5681-1
OpenAlex ID: W2777539043
cites work: A meta-learning method to select the kernel width in support vector regression
cites work: Metalearning
cites work: Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
cites work: Q5396710
DBLP publication ID: journals/ml/LorenaMMCP18
DOI: 10.1007/S10994-017-5681-1
Recommended article: Efficient Learning and Feature Selection in High-Dimensional Regression
Recommended article: Model and Feature Selection in Metrology Data Approximation
Recommended article: Dimensionality reduction by feature clustering for regression problems
Recommended article: Theoretical and computational difficulties of modern regression data analysis
Recommended article: Q3339333
Recommended article: Dimensionality Reduction, Regularization, and Generalization in Overparameterized Regressions
Recommended article: Informational complexity criteria for regression models.
Recommended article: Q2777431
description: scientific article; zbMATH DE number 6855217