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Viscous-inviscid interactions for surface-cooled axisymmetric boundary-layer flows (2000)
Journal Article
Elliott, J. W., & Strange, M. E. (2000). Viscous-inviscid interactions for surface-cooled axisymmetric boundary-layer flows. International Journal of Applied Mechanics and Engineering, 5(4), 923 - 957

A theoretical, high Reynolds number, investigation into the combined influence of surface cooling and curvature on the stability and transition properties of a compressible axisymmetric boundary-layer is presented. Here we consider the boundary-layer... Read More about Viscous-inviscid interactions for surface-cooled axisymmetric boundary-layer flows.

On the validity of minimin and minimax methods for support vector regression with interval data
Presentation / Conference Contribution
Cattaneo, M., & Wiencierz, A. On the validity of minimin and minimax methods for support vector regression with interval data

Paper delivered at 9th International Symposium on Imprecise Probability: Theories and Applications, Pescara, Italy, 2015. Abstract: In the recent years, generalizations of support vector methods for analyzing interval-valued data have been suggested... Read More about On the validity of minimin and minimax methods for support vector regression with interval data.

Statistical modelling under epistemic data imprecision : some results on estimating multinomial distributions and logistic regression for coarse categorical data
Presentation / Conference Contribution
Cattaneo, M., Augustin, T., Plass, J., & Schollmeyer, G. Statistical modelling under epistemic data imprecision : some results on estimating multinomial distributions and logistic regression for coarse categorical data

Paper presented at 9th International Symposium on Imprecise Probability: Theories and Applications, Pescara, Italy, 2015. Abstract: The paper deals with parameter estimation for categorical data under epistemic data imprecision, where for a part of t... Read More about Statistical modelling under epistemic data imprecision : some results on estimating multinomial distributions and logistic regression for coarse categorical data.