A statistical algorithm was developed for the damage fault diagnosis and prognosis tool and the present work focuses on the experimental validation. The oxide scale growth experim...
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
Abstract. We develop a statistical mechanical interpretation of algorithmic information theory by introducing the notion of thermodynamic quantities, such as free energy, energy, s...
We consider the problem of estimating the support of a vector Rp based on observations contaminated by noise. A significant body of work has studied behavior of 1-relaxations when...