JOURNAL ARTICLE

Semi-supervised sparse feature selection via graph Laplacian based scatter matrix for regression problems

Razieh SheikhpourMehdi Agha SarramElnaz Sheikhpour

Year: 2018 Journal:   Information Sciences Vol: 468 Pages: 14-28   Publisher: Elsevier BV
Keywords:
Feature selection Laplacian matrix Graph Regression Pattern recognition (psychology) Artificial intelligence Computer science Regularization (linguistics) Semi-supervised learning ENCODE Feature (linguistics) Regular polygon Supervised learning Convex optimization Mathematics Machine learning Theoretical computer science Artificial neural network Statistics

Metrics

36
Cited By
4.46
FWCI (Field Weighted Citation Impact)
56
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computational Drug Discovery Methods
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Computing and Algorithms
Social Sciences →  Social Sciences →  Urban Studies
© 2026 ScienceGate Book Chapters — All rights reserved.