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
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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