HIGH-DIMENSIONAL VARIABLE SCREENING AND DIMENSION REDUCTION AND THEIR APPLICATIONS TO CLASSIFICATION
Ph.D
Saved in:
Main Author: | CAI ZHIBO |
---|---|
Other Authors: | STATISTICS AND DATA SCIENCE |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/192005 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
A computationally efficient state-space partitioning approach to pricing high-dimensional American options via dimension reduction
by: Jin, X., et al.
Published: (2014) -
Comparative Analysis of Combinations of Dimension Reduction and Data Mining Techniques for Malware Detection
by: Fernandez, Proceso L, Jr, et al.
Published: (2010) -
CORRELATION SCREENING AND FEATURE SELECTION FOR ULTRA-HIGH-DIMENSIONAL MODELS WITH COMPLEX STRUCTURES
by: GONG YUAN
Published: (2019) -
Geometrically local embedding in manifolds for dimension reduction
by: Ge, S.S., et al.
Published: (2014) -
Tournament screening cum EBIC for feature selection with high-dimensional feature spaces
by: Chen, Z., et al.
Published: (2014)