Sparse kernel learning with LASSO and Bayesian inference algorithm.

Junbin Gao Paul Wing Hing Kwan Daming Shi

Published in: Neural Networks (2010)

Keyphrases

learning algorithm
bayesian inference
dynamic programming
prior information
probabilistic model
sparse kernel
incremental learning
reinforcement learning
high dimensional
supervised learning
unsupervised learning
support vector machine svm
hyperparameters
bayesian methods