missing values – Optimization Online

Support Vector Regression for imprecise data

Published: 2007/11/05, Updated: 2008/01/31

Convex Optimization, Data-Mining, Quadratic Programming gauges, interval data, missing values, quadratic programming, robustness, support vector regression

In this work, a regression problem is studied where the elements of the database are sets with certain geometrical properties. In particular, our model can be applied to handle data affected by some kind of noise or uncertainty and interval-valued data, and databases with missing values as well. The proposed formulation is based on the … Read more

Classification problems with imprecise data through separating hyperplanes

Published: 2007/09/20, Updated: 2007/11/05

Emilio Carrizosa

José F. Gordillo

Frank Plastria

Data-Mining, Quadratic Programming gauges, interval data, missing values, quadratic programming, robust classification, supervised classification, support vector machines

We consider a supervised classification problem in which the elements to be classified are sets with certain geometrical properties. In particular, this model can be applied to deal with data affected by some kind of noise and in the case of interval-valued data. Two classification rules, a fuzzy one and a crisp one, are defined … Read more