A comparison of ILP and propositional systems on propositional traffic data | Zendy

Sam G. B. Roberts | Zendy; Wim Van Laer | Zendy; Nico Jacobs | Zendy; Stephen Muggleton | Zendy; Jeremy Broughton | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A comparison of ILP and propositional systems on propositional traffic data

Author(s) -

Sam G. B. Roberts,

Wim Van Laer,

Nico Jacobs,

Stephen Muggleton,

Jeremy Broughton

Publication year - 1998

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-64738-4

DOI - 10.1007/bfb0027333

Subject(s) - computer science , propositional calculus , propositional variable , inductive logic programming , artificial intelligence , domain (mathematical analysis) , propositional formula , class (philosophy) , machine learning , algorithm , mathematics , programming language , intermediate logic , mathematical analysis , description logic

This paper presents an experimental comparison of two InductiveLogic Programming algorithms, Progol and Tilde , with C4.5, a propositionallearning algorithm, on a propositional dataset of road traffic accidents.Rebalancing methods are described for handling the skewed distributionof positive and negative examples in this dataset, and the relativecost of errors of commission and omission in this domain. It is noted thatbefore the use of these methods all algorithms perform worse than...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research