Predictive approaches for choosing hyperparametrs in Gaussian Processes
Advances in Neural Information Processing Systems
Saved in:
Main Authors: | Sundararajan, S., Sathiya Keerthi, S. |
---|---|
Other Authors: | MECHANICAL & PRODUCTION ENGINEERING |
Format: | Conference or Workshop Item |
Published: |
2016
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/129923 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Predictive approaches for choosing hyperparameters in gaussian processes
by: Sundararajan, S., et al.
Published: (2014) -
Ship energy consumption prediction with Gaussian process metamodel
by: Yuan, J., et al.
Published: (2022) -
Local Gaussian processes for efficient fine-grained traffic speed prediction
by: LE, Truc Viet, et al.
Published: (2017) -
Asymptotic behaviors of support vector machines with gaussian kernel
by: Keerthi, S.S., et al.
Published: (2014) -
NEW ADVANCES IN BAYESIAN INFERENCE FOR GAUSSIAN PROCESS AND DEEP GAUSSIAN PROCESS MODELS
by: YU HAIBIN
Published: (2020)