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Title An introduction to the Semantic Web
Date October 2006
Audience Anyone
Abstract This talk is an overview of semantic web, taken from many talks I have given to HP and students.
Source Powerpoint (PDF)

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Title An introduction to Artificial Immune Systems
Date February 2006
Audience Bristol University students
Abstract This talk is an overview of artificial immune systems, presented to students and staff familiar with evolutionary computing.
Source  (PDF)

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Title An introduction to the semantic web (non technical)
Date October 2004
Audience Birmingham University students
Abstract This talk is an overview of the Semantic Web, with a commercial rather than technical slant, presented at to 3rd year students
Source Powerpoint (PDF)

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Title An introduction to the semantic web (for an XML aware audience)
Date April 2004
Audience Nottingham University students
Abstract This talk is an introduction to the Semantic Web, presented at to 2nd year students with an understanding of basic XML technologies.
Source Powerpoint (PDF)

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Title Semantic Blogging
Date May 2003
Audience BlogTalk 2003
Abstract This talk is an introduction to the Semantic Blogging notion to a blogging community. Phrased in the informal blogTalk style: "My thesis takes the form "Blogging is cool - but it could be even cooler. How? Semantic Blogging, that's how!"
Source Powerpoint (PDF)

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Title Immune Systems - an evolutionary metaphor
Date Feb 2003
Audience University College London nUCLEAR Group
Abstract Immune systems provide a rich biological metaphor. They can be viewed as autonomous, distributed and adaptive systems which exhibit a range of desirable characteristics for machine learning. One way (not the only way) of implementing artificial immune systems (AIS) is to use evolutionary techniques. In this talk I shall pursue the implications of this approach for AIS research. In order to motivate the discussion, an example system will be described - a co-evolutionary immune system for document classification. This talk will assume no previous knowledge of artificial immune systems.
Source Powerpoint

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Title A Recommender System based on the Immune Network
Date May 2002
Audience Conference on Evolutionary Computing (CEC) 2002
Abstract The immune system is a complex biological system with a highly distributed, adaptive and self-organising nature. This talk presents an artificial immune system (AIS) that exploits some of these characteristics and is applied to the task of film recommendation by collaborative filtering (CF). Natural evolution and in particular the immune system have not been designed for classical optimisation. However, for this problem, we are not interested in finding a single optimum. Rather we intend to identify a sub-set of good matches on which recommendations can be based. It is our hypothesis that an AIS built on two central aspects of the biological immune system will be an ideal candidate to achieve this: Antigen - antibody interaction for matching and antibody - antibody interaction for diversity. Computational results are presented in support of this conjecture and compared to those found by other CF techniques.
Source Powerpoint

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Steve Cayzer

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