Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities

Authors:
Issam El Naqa;Jeffrey D. Bradley;Joseph O. Deasy
Affiliations:
-;-;-
Venue:
ICMLA '08 Proceedings of the 2008 Seventh International Conference on Machine Learning and Applications
Year:
2008

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Modeling radiation-induced lung injury risk with an ensemble of support vector machines

Neurocomputing

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Abstract

Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Bayesian approach to a segmentation model based on the switching linear Gaussian ...