General-Purpose learning machine using k-nearest neighbors algorithm

Authors:
Seyed Hamid Hamraz;Seyed Shams Feyzabadi
Affiliations:
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran;Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
Venue:
RoboCup 2005
Year:
2006

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Abstract

The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience. The aim of this paper is to describe a learner machine which can be used in different learning problems without any change in the system. We designed such a machine using k-nearest neighbors algorithm. How to optimize k-nearest neighbors algorithm to be effectively used in the machine is also discussed. Experimental results are also demonstrated at the end.