Amanote Research
Register
Sign In
Supervised Feature Selection: A Tutorial
Artificial Intelligence Research
doi 10.5430/air.v4n2p22
Full Text
Open PDF
Abstract
Available in
full text
Date
April 9, 2015
Authors
Samuel H. Huang
Publisher
Sciedu Press
Related search
Simultaneous Supervised Clustering and Feature Selection Over a Graph
Biometrika
Statistics
Probability
Uncertainty
Applied Mathematics
Biological Sciences
Agricultural
Mathematics
Semi-Supervised Feature Selection With Adaptive Discriminant Analysis
Proceedings of the AAAI Conference on Artificial Intelligence
Analysis of Supervised Feature Selection Techniques on Animal Husbandry Dataset
International Journal of Computer Applications
Interactive Prostate Segmentation Using Atlas-Guided Semi-Supervised Learning and Adaptive Feature Selection
Medical Physics
Medicine
Nuclear Medicine
Radiology
Imaging
Biophysics
Feature Selection Using Rough Set for Improving the Performance of the Supervised Learner
International Journal of Advanced Science and Technology
Energy
Engineering
Computer Science
Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification
Computational and Mathematical Methods in Medicine
Genetics
Molecular Biology
Biochemistry
Applied Mathematics
Microbiology
Simulation
Immunology
Medicine
Modeling
A Hybrid Approach to Feature Selection
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
A Study of Feature Extraction Using Supervised Independent Component Analysis
Synthetically Supervised Feature Learning for Scene Text Recognition
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
