The Bayesian backfitting relevance vector machine

By Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal. 2004

198 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Xiaoqin Zhang
2. Huimin Ma

In Artificial Intelligence

1. Yiqun Liu
2. Shaoping Ma
3. Min Zhang
4. Yongfeng Zhang
5. Hye-Yeong Park
6. W. Jarosinski
7. Jing Zhang
8. Lingbin Meng

In Signal Processing

1. Jing Zhang
2. Yiqun Liu
3. Xiaoqin Zhang
4. Min Zhang
5. Huimin Ma
6. Shaoping Ma

Citations in the corpus

• Machine Learning in Additive Manufacturing: A Review (2020, methodology): “used regularization method is called LL2 regularization [59], which encourages the sum of the squares of the parameters to be small.”
• Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations (2018, methodology): “These algorithms proved successful in solving MDP\R ([Abbeel and Ng, 2004]).”
• Rating-Boosted Latent Topics: Understanding Users and Items with Ratings and Reviews (2016, methodology): “We learn the parameters of bu, bi, qu and pi by minimizing the following objective function with the stochastic gradient descent (SGD) [Zhang, 2004] method.”