20 search results - page 1 / 4 » Healing the relevance vector machine through augmentation |
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
ICMLA
2009
2009
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
13 years 2 months ago
Patients undergoing thoracic radiation therapy can develop radiation pneumonitis (RP), a potentially fatal inflammation of the lungs. Support vector machines (SVMs), a statistical...
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
UAI
2000
13 years 6 months ago
2000
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...