Research at Sofia University >
Faculty of Mathematics and Informatics >
Papers >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10506/53
|
Title: | Overview of ILP Systems |
Authors: | Boytcheva, Svetla |
Keywords: | Inductive logic programming Supervised Learning |
Issue Date: | 2002 |
Publisher: | Journal of Cybernetics and Information Technologies |
Citation: | 14. Boytcheva S., Overview of ILP Systems, 2002, Journal of Cybernetics and Information Technologies, Vol. 1, 2002 |
Abstract: | The current paper presents a brief overview of Inductive logic programming (ILP) systems. ILP algorithms are of special interest for machine learning, because most of them offer practical methods for extending the presentations used in algorithms that solve supervised learning tasks. The paper presents major approaches for solving supervised learning task, summarizes their features and classifies systems according different dimensions |
URI: | http://hdl.handle.net/10506/53 |
Appears in Collections: | Papers
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|