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All Outputs (5)

Improved decision for a resource-efficient fusion scheme in cooperative spectrum sensing (2015)
Presentation / Conference Contribution
Guimarães, D. A., Aquino, G. P., & Cattaneo, M. E. G. V. (2015, June). Improved decision for a resource-efficient fusion scheme in cooperative spectrum sensing. Presented at IWT 2015 - 2015 International Workshop on Telecommunications

Paper presented at at 2015 International Workshop on Telecommunications (IWT), 14th to 17th of June, Santa Rita do Sapucai, Brazil. Abstract Recently, a novel decision fusion scheme for cooperative spectrum sensing was proposed, aiming at saving reso... Read More about Improved decision for a resource-efficient fusion scheme in cooperative spectrum sensing.

A continuous updating rule for imprecise probabilities (2014)
Presentation / Conference Contribution
Cattaneo, M. E. G. V. (2014, July). A continuous updating rule for imprecise probabilities. Presented at 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2014), Montpellier, France

The paper studies the continuity of rules for updating imprecise probability models when new data are observed. Discontinuities can lead to robustness issues: this is the case for the usual updating rules of the theory of imprecise probabilities. An... Read More about A continuous updating rule for imprecise probabilities.

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.