Optimal Feature Selection in High-Dimensional Discriminant Analysis

IEEE Transactions on Information Theory- United States

doi 10.1109/tit.2014.2381241

Full Text

Abstract

Available in

Date

Authors

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Semi-Supervised Feature Selection With Adaptive Discriminant Analysis

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

Heteroscedastic Discriminant Analysis Combined With Feature Selection for Credit Scoring

Statistics in Transition
UncertaintyStatisticsProbability
2016English

Feature Selection for High-Dimensional Temporal Data

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2018English

Classifier-Independent Feature Selection Based on Non-Parametric Discriminant Analysis

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2002English

Classification and Feature Selection in Sparse High-Dimensional Models

English

Improved Nonnegative Matrix Factorization Based Feature Selection for High Dimensional Data Analysis

2013English

Feature Selection for Classifying High-Dimensional Numerical Data

English

Assessing Similarity of Feature Selection Techniques in High-Dimensional Domains

Pattern Recognition Letters
Signal ProcessingComputer VisionPattern RecognitionArtificial IntelligenceSoftware
2013English

Unsupervised Feature Selection Based on Kernel Fisher Discriminant Analysis and Regression Learning

Machine Learning
Artificial IntelligenceSoftware
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy