Survey of Incremeental Algorithms Of The Learning Teechniques

Abstract

Survey of Incremental Algorithms of The Learning Techniques By: Ahmad Mousa M. Al-Odat Neelain University Faculty of Computer Science and Information Technology Msc. Information Technology Walid Salameh, Professor of Computer Science My thesis is talking about the Artificial Intelligence (AI) in general. And one of the most important topics in AI is the Machine Learning (ML). It’s the first step to let the machine be smart and intelligence, and to be able to do new things to achieve new situation by themselves without help from human beings. I try in this thesis to present some important algorithms and technique that are related to the inductive learning algorithms. I focus in my study to represent in detail the decision tree and the product rule technique, also I represent some important algorithms that are related to the increasing the base knowledge in the machine leaming such that Feigenbaum’s EPAM, Lebowitz’s UNIMEM, and Fisher’s COBWEB., So, I think that anybody related to this field can easy use this thesis as a reference in his work, because it’s a homogenous and semi-complete study related to the incremental data algorithms.