MLBC Research

Current Projects

• Learning the Morphology of Complex Synthetic Languages
• MLnet: Network of Excellence in Machine Learning.
• Model of familiarity discrimination in the perirhinal cortex
• Neuronal Mechanisms for Decision Optimization
• Reverse engineering of vertebrate brain
• Multi-objective & optimisation of logistics networks
• Adaptive dynamic ensemble prediction techniques
• The Evolution of Personality

Past Projects

• Efficient first-order probabilistic models for inference and learning.
• ILPNet2: Network of Excellence in Inductive Logic Programming.
• Sol-Eu-Net: Data Mining and Decision Support for business competitiveness.
• METAL: A Meta-Learning Assistant for Providing User Support in Machine Learning and Data Mining.
• Evaluating the Contribution of ML and DM to Health Services Research: Analysis of Hospital Episode Statistics.
• SISEBIA: Social Insects, Simulated Evolution and Biologically Inspired Algorithms
• Evolutionary Design of Learning Multi-Agent Systems.
• FDEP: Inducing Functional Dependencies from Relations.
• Higher Order Inductive Declarative Programming.
• Induction of first-order rules and constraints for knowledge discovery.
• Inductive Logic Programming 2
• Eligibility traces in human reinforcement learning

Software

Projects often produce software, and we include here a selection of that which we consider of use to the wider community:

• Toolbox for estimating parameters of reinforcement learning models
• 1BC: a first-order Bayesian classifier
• Tertius: a system for rule discovery in first-order logic
• ROCOn: ROC graph visualiser
• WekaMetal: a meta-learning extension to Weka
• SINUS: propositionalisation through first-order feature construction
• Matlab toolbox for Generating simulated EEG data
• Matlab toolbox for Parameterization of connectionist models
• XCSphere