Hierarchic Bayesian models for kernel learning.
Mark A. GirolamiSimon RogersPublished in: ICML (2005)
Keyphrases
- bayesian models
- kernel learning
- bayesian inference
- kernel function
- multiple kernel learning
- semi supervised
- kernel methods
- statistical models
- neural network model
- prior knowledge
- learning tasks
- probabilistic model
- bayesian framework
- dimensionality reduction
- multi task learning
- distance metric
- neural network
- prior information
- pairwise
- support vector
- learning algorithm