Featureexplorer: Interactive feature selection and exploration of regression models for hyperspectral images

J Zhao, M Karimzadeh, A Masjedi… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Feature selection is used in machine learning to improve predictions, decrease computation
time, reduce noise, and tune models based on limited sample data. In this article, we present …
被引用次数：36 相关文章

FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images

J Zhao, M Karimzadeh, A Masjedi, T Wang… - 2019 IEEE …, 2019 - computer.org
Feature selection is used in machine learning to improve predictions, decrease computation
time, reduce noise, and tune models based on limited sample data. In this article, we present …

FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images

J Zhao, M Karimzadeh, A Masjedi, T Wang… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Feature selection is used in machine learning to improve predictions, decrease computation
time, reduce noise, and tune models based on limited sample data. In this article, we present …

FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images

J Zhao, M Karimzadeh, A Masjedi, T Wang, X Zhang… - researchgate.net
Feature selection is used in machine learning to improve predictions, decrease computation
time, reduce noise, and tune models based on limited sample data. In this article, we present …

FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images

J Zhao, M Karimzadeh, A Masjedi, T Wang… - arXiv preprint arXiv …, 2019 - arxiv.org
Feature selection is used in machine learning to improve predictions, decrease computation
time, reduce noise, and tune models based on limited sample data. In this article, we present …
[PDF] github.io

[PDF][PDF] FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images

J Zhao, M Karimzadeh, A Masjedi, T Wang, X Zhang… - xiwen1995.github.io
Feature selection is used in machine learning to improve predictions, decrease computation
time, reduce noise, and tune models based on limited sample data. In this article, we present …

FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images

J Zhao, M Karimzadeh, A Masjedi, T Wang, X Zhang… - researchgate.net
Feature selection is used in machine learning to improve predictions, decrease computation
time, reduce noise, and tune models based on limited sample data. In this article, we present …