Let Us Use Negative Examples in Regression-Type Problems Too

Authors

Jonatan Contreras, University of Texas at El PasoFollow
Francisco Zapata, University of Texas at El PasoFollow
Olga Kosheleva, University of Texas at El PasoFollow
Vladik Kreinovich, University of Texas at El PasoFollow
Martine Ceberio, University of Texas at El PasoFollow

Publication Date

7-2020

Comments

Technical Report: UTEP-CS-20-76b

Abstract

In many practical situations, we need to reconstruct the dependence between quantities x and y based on several situations in which we know both x and y values. Such problems are known as regression problems. Usually, this reconstruction is based on positive examples, when we know y -- at least, with some accuracy. However, in addition, we often also know some examples in which we have negative information about y -- e.g., we know that y does not belong to a certain interval. In this paper, we show how such negative examples can be used to make the solution to a regression problem more accurate.