
Data Analysis for Gansoline Octane Problem with High Dimensional Variable Selection
Author(s) -
Qiqiang Yang,
Xuemin Zi
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2026/1/012012
Subject(s) - lasso (programming language) , coordinate descent , curse of dimensionality , feature selection , variable (mathematics) , computer science , high dimensional , elastic net regularization , octane rating , algorithm , mean squared error , mathematical optimization , mathematics , gasoline , artificial intelligence , statistics , engineering , mathematical analysis , world wide web , waste management