Uncertainty of classification on limited data

Thesis event information

Date and time of the thesis defence

Place of the thesis defence

Linnanmaa L10, https://oulu.zoom.us/j/62679625297

Topic of the dissertation

Uncertainty of classification on limited data

Doctoral candidate

Master of science Tuomo Alasalmi

Faculty and unit

University of Oulu Graduate School, Faculty of Information Technology and Electrical Engineering, Biomimetics and intelligent systems group

Subject of study

Computer science and engineering


Professor Henrik Boström, KTH Royal Institute of Technology


Professor Juha Röning, University of Oulu

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Uncertainty of classification results when the data set is small or has missing values

The thesis presents a method for estimating uncertainty of classification results when there are missing values in the data. In addition, the calibration of an uncertainty measure is studied on small data sets and two algorithms to improve the calibration are presented.
Last updated: 1.3.2023