1. Eleuteri A, Tagliaferri R, Acernese F, Milano L, De Laurentiis M
Information Geometry for Survival Analysis and Feature Selection
Meeting: BITS 2004 - Year: 2004
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Abstract: In this paper an information geometric approach to survival analysis is described. A neural network is designed to model the probability of failure of a system, and it is trained by minimising a suitable divergence functional in a Bayesian framework. By using the trained network, minimisation of the same divergence functional allows for fast, efficient and exact feature selection.