Bachelor and Master Theses

Title: Similarity learning in case-based reasoning
Subject: Computer Science
Level: Basic or Advanced (contact supervisor)
Description: Fundamental to case-based reasoning (CBR) is the assumption that similar problems have similar solutions. The meaning of the concept of “similarity” can vary in different situations and remains an issue. In this project you will investigate the algorithms and methods to develop a situation-dependent similarity model by exploiting machine learning techniques. A number of practical data sets are available to test your ideas and compare your work with other results published in the literature.
Proposed: 2016-11-03
Prerequisites: good analytical ability, basic programing skills
IDT supervisor: Ning Xiong, +46-21-151716
Examinator: Peter Funk
Peter Funk, +46-21-103153

Rapport och bilagor


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  • Latest update: 2018.08.31