Predictive approaches for choosing hyperparameters in gaussian processes
10.1162/08997660151134343
Saved in:
Main Authors: | Sundararajan, S., Keerthi, S.S. |
---|---|
Other Authors: | MECHANICAL ENGINEERING |
Format: | Article |
Published: |
2014
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/61140 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Predictive approaches for choosing hyperparametrs in Gaussian Processes
by: Sundararajan, S., et al.
Published: (2016) -
Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms
by: Keerthi, S.S.
Published: (2014) -
Evaluation of simple performance measures for tuning SVM hyperparameters
by: Duan, K., et al.
Published: (2014) -
Automatic hyperparameter optimization for machine learning
by: Tan, Xavier Jun Sheng
Published: (2020) -
Online hyperparameter optimization for class-incremental learning
by: LIU, Yaoyao, et al.
Published: (2023)