Tech Reports
Tech Report kmi-98-08 Abstract
Bayesian Methods for Intelligent Data Analysis
Techreport ID: kmi-98-08
Date: 1998
Author(s): Marco Ramoni and Paola Sebastiani
This paper provides an introduction to Bayesian statistics as methodological tool for intelligent data analysis, knowledge discovery, and machine learning. The paper starts from the basic concepts of Bayesian statistics and reaches the presentation of most recent developments of the field, such as Bayesian Belief Networks. Knowledge of basic statistical concepts is required. 1. Knowledge Media Institute, The Open University. 2. Department of Statistics, The Open University.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...
Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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