Selection of Seed Examples in ILP

Tarek Abudawood; Peter Flach

Selection of Seed Examples in ILP

Tarek Abudawood, Peter Flach

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

In this paper we investigate different methods of selecting seed examples and their effect on learning first order rules in ILP. Based on large experimental results we concluded that they have significant impact on accuracies, the number of rules and the speed of induced models.

Translated title of the contribution	Selection of Seed Examples in ILP
Original language	English
Title of host publication	The 3rd York Doctoral Symposium on Computing (YDS'10)
Publisher	Department of Computer Science, The University of York
Publication status	Published - 2010

Bibliographical note

Other page information: 29-38
Conference Proceedings/Title of Journal: The 3rd York Doctoral Symposium on Computing (YDS'10)
Other identifier: 2001271

Access to Document

http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2001271

Cite this

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title = "Selection of Seed Examples in ILP",

abstract = "In this paper we investigate different methods of selecting seed examples and their effect on learning first order rules in ILP. Based on large experimental results we concluded that they have significant impact on accuracies, the number of rules and the speed of induced models. ",

author = "Tarek Abudawood and Peter Flach",

note = "Other page information: 29-38 Conference Proceedings/Title of Journal: The 3rd York Doctoral Symposium on Computing (YDS'10) Other identifier: 2001271",

year = "2010",

language = "English",

booktitle = "The 3rd York Doctoral Symposium on Computing (YDS'10)",

publisher = "Department of Computer Science, The University of York",

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AU - Flach, Peter

N1 - Other page information: 29-38 Conference Proceedings/Title of Journal: The 3rd York Doctoral Symposium on Computing (YDS'10) Other identifier: 2001271

PY - 2010

Y1 - 2010

N2 - In this paper we investigate different methods of selecting seed examples and their effect on learning first order rules in ILP. Based on large experimental results we concluded that they have significant impact on accuracies, the number of rules and the speed of induced models.

AB - In this paper we investigate different methods of selecting seed examples and their effect on learning first order rules in ILP. Based on large experimental results we concluded that they have significant impact on accuracies, the number of rules and the speed of induced models.

M3 - Conference Contribution (Conference Proceeding)

BT - The 3rd York Doctoral Symposium on Computing (YDS'10)

PB - Department of Computer Science, The University of York

ER -