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Research Interest

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Research Interest

Current Research Interest

Φ Symbolic Machine Learning especially Inductive Logic Programming
 
Φ Applications of  Symbolic Machine Learning and ILP to real-world problems
  • In particular, to problems in computational biology including the identification of miRNAs, qualitative models of biological systems, and toxicology models for drug-design
  • The analysis of text, specifically to do with the construction of relational attributes from semi-structured text
Φ Implementation of ILP
  • In particular, the ILP systems  Aleph  and  P-Progol
  • Incorporation of probabilistic optimisation techniques for scalabilit
  • Techniques for combination with other learning methods (for example, deep neural networks)
Φ Conceptual development of ILP
  • Application of optimal search theory
  • The use of designed experiments for hyper-parameter optimisation

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