- Planning clarification questions to resolve ambiguous references to objects Jeremy L Wyatt
- The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
- Multiple Workspaces as an Architecture for Cognition Jeremy L Wyatt and Nick Hawes
- Design, analysis and comparison of robot learners Jeremy Wyatt,
- EXPLOITING ENSEMBLE DIVERSITY FOR AUTOMATIC FEATURE EXTRACTION
- A SemiSupervised Method for Learning the Structure of Robot Environment Interactions
- Physical simulation for monocular 3D model based tracking Damien Jade Duff, Student Member, IEEE, Thomas Morwald, Rustam Stolkin and Jeremy Wyatt
- A Framework for Goal Generation and Management Marc Hanheide and Nick Hawes
- Engineering Intelligent Information-Processing Systems with CAST Nick Hawes and Jeremy Wyatt
- Exploring Design Space For An Integrated Intelligent System
- Developing Intelligent Robots with CAST Nick Hawes and Jeremy Wyatt
- Benchmarking The Influence of Information-Processing Architectures on Intelligent
- Crossmodal Content Binding in Information-Processing Architectures Henrik Jacobsson
- Planning Information Processing and Sensing Actions Mohan Sridharan, Nick Hawes, Jeremy Wyatt, Richard Dearden and Aaron Sloman
- BALT & CAST: Middleware for Cognitive Robotics Nick Hawes, Michael Zillich and Jeremy Wyatt
- Model Transfer for Markov Decision Tasks via Parameter Matching Funlade T. Sunmola
- An Architecture Schema for Embodied Cognitive Nick Hawes, Jeremy Wyatt and Aaron Sloman
- Long Term Requirements for Cognitive Robotics Aaron Sloman and Jeremy Wyatt and Nick Hawes,
- Journal of Machine Learning Research 6 (2005) 16211650 Submitted 4/04; Published 9/05 Managing Diversity in Regression Ensembles
- Cartesian Genetic Programming for Image Processing Tasks Hctor A Montes and Jeremy L Wyatt
- A Semi-Supervised Method for Learning the Structure of Robot Environment Interactions
- t = 0 t = 6 4t = 6 3 1 10 100 1000 10000
- Robust Evolution Strategies Use Adaptive Search Strategies to Design Continuous-Time Recurrent Neural Networks
- Belief Change Maximisation for Hydrothermal Vent Hunting Using Occupancy Grids
- Reinforcement Learning using Optimistic Process Filtered Models Funlade T. Sunmola fts@cs.bham.ac.uk
- To appear in the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09) Information-Lookahead Planning for AUV Mapping
- Motion estimation using physical simulation Damien Jade Duff, Student Member, IEEE, Jeremy Wyatt, and Rustam Stolkin
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- Towards an Empirical Exploration of Design Space Nick Hawes and Aaron Sloman and Jeremy Wyatt
- Exploring Design Space For An Integrated Intelligent System
- Crossmodal Content Binding in Information-Processing Architectures
- Diversity in Neural Network Ensembles Gavin Brown
- Towards Context-Sensitive Visual Attention Nick Hawes and Jeremy Wyatt
- Planning for AUVs: Dealing with a Continuous Partially-Observable Environment Richard W Dearden
- WYATT et al.: SELF-UNDERSTANDING AND SELF-EXTENSION 1 Self-Understanding & Self-Extension
- BALT & CAST: Middleware for Cognitive Nick Hawes, Michael Zillich and Jeremy Wyatt
- Reinforcement Learning: a brief overview. Jeremy Wyatt 1
- Exploration control in Reinforcement Learning using Optimistic Model Selection
- Negative Correlation Learning and The Ambiguity Family of Ensemble Methods
