Experimental comparison of human and machine learning formalisms
Proceedings of the sixth international workshop on Machine learning
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Theories for mutagenicity: a study in first-order and feature-based induction
Artificial Intelligence - Special volume on empirical methods
Solving the multiple instance problem with axis-parallel rectangles
Artificial Intelligence
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Data Mining and Knowledge Discovery
A Study of Two Sampling Methods for Analyzing Large Datasets with ILP
Data Mining and Knowledge Discovery
ECML '93 Proceedings of the European Conference on Machine Learning
An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Part-of-Speech Tagging Using Progol
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Parameter screening and optimisation for ILP using designed experiments
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Parameter Screening and Optimisation for ILP using Designed Experiments
The Journal of Machine Learning Research
| Hi-index | 0.00 |
Since the late 1980s there has been a sustained research effort directed at investigating the application of Inductive Logic Programming (ILP) to problems in biology and chemistry. This essay is a personal view of some interesting issues that have arisen during my involvement in this enterprise. Many of the concerns of the broader field of Knowledge Discovery in Databases manifest themselves during the application of ILP to analyse bio-chemical data. Addressing them in this microcosm has given me some directions on the wider application of ILP, and I present these here in the form of four suggestions and one rule. Readers are invited to consider them in the context of a hypothetical Recommended Codes and Practices for the application of ILP.