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  About site: http://www.cs.bris.ac.uk/Research/MachineLearning/

Title: Artificial Intelligence/Machine Learning/Research Groups - Machine Learning Group - University of Bristol Research on higher-order concept learning, inductive logic programming, multi-agent learning systems, integration of prior knowledge, induction and deduction, incremental learning, hybrid symbolic/con
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Machine Learning and Biological Computation Group << 2007-8 >> Machine Learning  |  Home  |  Index  |  People  |  Research  |  Publications  |  PhD Department ofComputer Science   MLBC LogoMachine Learning and Biological Computation GroupMLBC HomePeopleResearchPublicationsInternal Pages

Machine Learning & Biological Computation

Part of the Intelligent Systems group, we study general principles underlying learning and intelligence and biological systems. We run an Advanced Computing MSc course in Machine Learning and Data Mining. Machine Learning - software that improves with experience How can machines make scientific discoveries and inventions? What can we learn from networks of interaction (e.g. social, financial, ecological)? Computational Biology - models of biological systems Do brain structures make optimal use of data? Do social insects and brains share common statistical models? Bio-inspired Computation - imitating nature's solutions How can we adapt robust, decentralised decision-making methods from biology? How can we adapt evolutionary theory to understand evolutionary algorithms? Add News Contact Us  |  News 25th Anniversary © 1995-2008 University of Bristol  |  Terms and Conditions About this Page
 

Research

on

higher-order

concept

learning,

inductive

logic

programming,

multi-agent

learning

systems,

integration

of

prior

knowledge,

induction

and

deduction,

incremental

learning,

hybrid

symbolic/con

http://www.cs.bris.ac.uk/Research/MachineLearning/

Machine Learning Group - University of Bristol 2008 August

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Research on higher-order concept learning, inductive logic programming, multi-agent learning systems, integration of prior knowledge, induction and deduction, incremental learning, hybrid symbolic/con

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