Skip to main navigation
Skip to search
Skip to main content
Charles Sturt University Research Output Home
Search content at Charles Sturt University Research Output
Home
Researchers
Research Organisations
Research Outputs
Datasets
Prizes
Activities
Press/Media
Impacts
Equipment
L1 LASSO Modeling and Its Bayesian Inference
Junbin Gao
, Michael Antolovich
, Paul Kwan
Data Science and Engineering Research Unit
Machine Vision and Digital Health (MaViDH) Research Group
Imaging and Sensing Research Group
Computing, Mathematics and Engineering
Research output
:
Book chapter/Published conference paper
›
Conference paper
›
peer-review
74
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'L1 LASSO Modeling and Its Bayesian Inference'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Bayesian Inference
100%
Sparse Regression Models
100%
Least Absolute Shrinkage and Selection Operator (LASSO)
100%
Regression Problem
50%
Iterative Procedure
50%
Relevance Vector Machine
50%
Local Regularization
50%
State-of-the-art Techniques
50%
Bayesian Modeling
50%
Orthogonal Partial Least Squares Regression
50%
Unseen
50%
Model Hyperparameters
50%
Engineering
State-of-the-Art Method
100%
Iterative Procedure
100%
Square Regression
100%
Specifies
100%
Regularization
100%
Least Square
100%
Computer Science
Least Squares Methods
100%
Regression Problem
100%
Bayesian Modeling
100%
Regularization
100%
Leaning Parameter
100%
Mathematics
Regression Model
100%
Bayesian Inference
100%
Least Square
50%
Bayesian
50%
Regularization
50%
Square Regression
50%