All Outputs (6)

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.

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.

Maxitive Integral of Real-Valued Functions
Presentation / Conference Contribution
Cattaneo, M. E. G. V. Maxitive Integral of Real-Valued Functions

The paper pursues the definition of a maxitive integral on all real-valued functions (i.e., the integral of the pointwise maximum of two functions must be the maximum of their integrals). This definition is not determined by maxitivity alone: additio... Read More about Maxitive Integral of Real-Valued Functions.

A continuous updating rule for imprecise probabilities
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.

Generalised geometric swimming for Stokes flow
Presentation / Conference Contribution
Koens, L., & Lauga, E. (2019, November). Generalised geometric swimming for Stokes flow. Presented at 72nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, Washington

Shapere and Wilczek first demonstrated that the displacement of a microscopic swimmer was related to path integrals over a gauge field. This field is a function of the swimmers configuration and laboratory frame position. For simple 1D swimmers, Stok... Read More about Generalised geometric swimming for Stokes flow.