This paper reviews Machine Learning (ML), and extends and complements previous work
(Kocabas, 1991; Kalkanis and Conroy, 1991). Although this paper focuses on inductive …

Ming Li Paul Vitányi Fourth Edition Page 1 An Introduction to Kolmogorov Complexity and Its
Applications Ming Li Paul Vitányi Fourth Edition Texts in Computer Science Page 2 Texts in …

Abstract Inductive Logic Programming (ILP) is a new discipline which investigates the
inductive construction of first-order clausal theories from examples and background …

This paper firstly provides a re-appraisal of the development of techniques for inverting
deduction, secondly introduces Mode-Directed Inverse Entailment (MDIE) as a …

The 18th International Conference on Inductive Logic Programming was held in Prague,
September 10–12, 2008. ILP returned to Prague after 11 years, and it is tempting to look at …

FOIL is a learning system that constructs Horn clause programs from examples. This paper
summarises the development of FOIL from 1989 up to early 1993 and evaluates its …

Learning multiple descriptions for each class in the data has been shown to reduce
generalization error but the amount of error reduction varies greatly from domain to domain …

In this paper, we explored a learning approach which combines different learning methods
in inductive logic programming (ILP) to allow a learner to produce more expressive …

We present a new approach, called First Order Regression (FOR), to handling numerical
information in Inductive Logic Programming (ILP). FOR is a combination of ILP and …

Psychological stress affects physiological parameters of a person. Prolonged exposure to
stress can have detrimental effects which might require expensive treatments. Acute levels …