About site: Artificial Intelligence/Machine Learning/Research Groups - Computational Intelligence Group - University of Bristol
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  About site: http://www.enm.bris.ac.uk/ai/

Title: Artificial Intelligence/Machine Learning/Research Groups - Computational Intelligence Group - University of Bristol Research on kernel methods, support vector machines, neural networks, machine vision, bioinformatics, computational learning theory.
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AI at Bristol A.localnav:link, A.localnav:visited, A.localnav:active {text-decoration: none } AI at Bristol Artificial Intelligence @ Bristol   Home Research People Papers Partners Software Seminars Vacancies Links             Facial feature detection Intelligent user modelling Nonlinear fuzzy control Handwriting recognition Machine <b>learning</b>

The Artificial Intelligence Group

The AI Group in the Department of Engineering Mathematics is working on the forefront of modelling uncertainty and vagueness in AI. Our focus is on developing theories, methods and algorithms for knowledge representation and reasoning under uncertainty. The methods we develop are then applied to real world problems in engineering and elsewhere. A direct link between theory and application is made possible by our central position in the Faculty of Engineering.

Uncertainty in AI

Focus - developing theories, methods and algorithms for knowledge representation and reasoning under uncertainty (including fuzzy and probabilistic uncertainty). The methods we develop are applied to real world problems in engineering and elsewhere. A direct link between theory and application is made possible by our central position in the Faculty of Engineering.

Computational Intelligence

Focus - sub-symbolic approaches to machine intelligence. On the theoretical side we are interested in statistical learning theory, support vector machines, neural networks and the design of learning algorithms.On the applied side we are interested in the applicationof these methods to bioinformatics, cancer informatics and medicalinformatics. Our publications can be found here.

Pattern Analysis

Focus - statistical and algorithmicaspects of Pattern Analysis, Machine Learning and generally MachineIntelligence. The main application areas are in Computational Genomics andComputational Linguistics, particularly knowledge extraction from the web.

SMPS 2006

The AI group will be hosting the Third International Conference on Soft Methodsin Probablility and Statistics (SMPS 2006) from 5th to 7th September 2006.
 

Research

on

kernel

methods,

support

vector

machines,

neural

networks,

machine

vision,

bioinformatics,

computational

learning

theory.

http://www.enm.bris.ac.uk/ai/

Computational Intelligence Group - University of Bristol 2008 August

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Research on kernel methods, support vector machines, neural networks, machine vision, bioinformatics, computational learning theory.

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