Neural Computation
Variational Relevance Vector Machines
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Nonlinear Feature Selection by Relevance Feature Vector Machine
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Large scale multikernel RVM for object detection
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
We consider the problem of regression estimation within a Bayesian framework for models linear in the parameters and where the target variables are contaminated by 'outliers'. We introduce an explicit distribution to explain outlying observations, and utilise a variational approximation to realise a practical inference strategy.