VARIATIONAL BAYES METHODS IN GAUSSIAN PROCESS REGRESSION
Ph.D
Saved in:
主要作者: | MENSAH DAVID KWAMENA |
---|---|
其他作者: | STATISTICS & APPLIED PROBABILITY |
格式: | Theses and Dissertations |
語言: | English |
出版: |
2016
|
主題: | |
在線閱讀: | http://scholarbank.nus.edu.sg/handle/10635/124177 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | National University of Singapore |
語言: | English |
相似書籍
-
MAP approximation to the variational Bayes Gaussian mixture model and application
由: Lim, Kart-Leong, et al.
出版: (2020) -
Variational inference for generalized linear mixed models using partially noncentered parametrizations
由: Tan, L.S.L., et al.
出版: (2014) -
Regression density estimation with variational methods and stochastic approximation
由: Nott, D.J., et al.
出版: (2014) -
When Gaussian process meets big data : a review of scalable GPs
由: Liu, Haitao, et al.
出版: (2021) -
p-Variation of gaussian processes with stationary increments
由: Shao, Q.-M.
出版: (2014)