All Outputs (2)

Pruning methods for rule induction (2017)
Thesis
Othman, O. (2017). Pruning methods for rule induction. (Thesis). University of Salford

Machine learning is a research area within computer science that is mainly concerned with discovering regularities in data. Rule induction is a powerful technique used in machine learning wherein the target concept is represented as a set of rules. T... Read More about Pruning methods for rule induction.

A sequence-length sensitive approach to learning biological grammars using inductive logic programming (2011)
Thesis
Mamer, T. (2011). A sequence-length sensitive approach to learning biological grammars using inductive logic programming. (Thesis). The Robert Gordon University

This thesis aims to investigate if the ideas behind compression principles, such as the Minimum Description Length, can help us to improve the process of learning biological grammars from protein sequences using Inductive Logic Programming (ILP). Con... Read More about A sequence-length sensitive approach to learning biological grammars using inductive logic programming.