Dr Chris Bryant's Outputs (3)

Pruning methods for rule induction (2017)
Thesis

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

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.

An Inductive Logic Programming Approach to Learning which uORFs Regulate Gene Expression (2008)
Thesis

Some upstream open reading frames (uORFs) regulate gene expression (i.e. they are functional) and can play key roles in keeping organisms healthy. However, how uORFs are involved in gene regulation is not het fully understood. In order to get a compl... Read More about An Inductive Logic Programming Approach to Learning which uORFs Regulate Gene Expression.