Maarja A. Kruusmaa, Jan Willemson (auth.), Professor Max's Research and Development in Intelligent Systems XIX: PDF

By Maarja A. Kruusmaa, Jan Willemson (auth.), Professor Max Bramer BSc, PhD, CEng, FBCS, FIEE, FRSA, Alun Preece, Dr Frans Coenen (eds.)

ISBN-10: 1447106512

ISBN-13: 9781447106517

ISBN-10: 1852336749

ISBN-13: 9781852336745

M.A.BRAMER college of Portsmouth, united kingdom This quantity contains the refereed technical papers offered at ES2002, the Twenty-second SGAI overseas convention on wisdom established platforms and utilized man made Intelligence, held in Cambridge in December 2002. The convention was once organised via SGAI, the British laptop Society expert crew on synthetic Intelligence (previously often called SGES). The papers during this quantity current new and cutting edge advancements within the box, divided into sections on laptop studying, wisdom illustration and Reasoning, wisdom Acquisition, Constraint delight, Scheduling and typical Language Processing. This year's prize for the easiest refereed technical paper was once received by way of a paper entitled masking the trail area: A Casebase research for cellular robotic course making plans through M Kruusmaa (Department of Mechatronics, Tallinn Technical college, Estonia) and J Willemson (Department of laptop technology, Tartu college, Estonia). SGAI gratefully recognizes the long term sponsorship of Hewlett-Packard Laboratories (Bristol) for this prize, which fits again to the Eighties. this is often the 19th quantity within the learn and improvement sequence. the appliance move papers are released as a better half quantity less than the name purposes and options in clever structures X. On behalf of the convention setting up committee I may still wish to thank all those that contributed to the supplier of this year's technical programme, particularly the programme committee participants, the referees and our directors Linsay Turbert and Helen Forster.

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Additional info for Research and Development in Intelligent Systems XIX: Proceedings of ES2002, the Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence

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Schaffer, C. Overfitting avoidance as bias, In Machine Learning, vol. 10, pp. 153-178, 1993. 22. Toivonen, H. Sampling large databases for association rules, In Proceedings of the 22nd International Conference on Very Large Databases, VLDB'96, Morgan Kaufmann, pp. 134-145, 1996. Epicurean-style Learning Applied to the Classification of Gene-Expression Data* Andreas A. Albrecht Dept. of Computer Science, Univ. of Hertfordshire Hatfield, Herts ALlO 9AB, UK Staal A. , Science, vol. 286, 1999. The classification problem studied by Khan et al.

11-17, J. Stefan Institute, Ljubljana, 1999. : Ontology-based Text Clustering, Workshop "Text Learning: Beyond Supervision" ,IJCAI 2001. Simplest Rules Characterizing Classes Generated by J-Free Sets Bruno Cremilleux GREYC CNRS-UMR 6072, University of Caen F-14032 Caen Cedex, France J ean-Fran<;ois Boulicaut Laboratoire d'IngEmierie des Systemes d'Information INSA Lyon F-69621 Villeurbanne Cedex, France Abstract We present a new approach that provides the simplest rules characterizing classes with respect to their left-hand sides.

U30} I, I{ull , ... , u30} I) 20/ max(20,20) = 100"10 {USA, Canada} ~ {corn} with confidence I{u I{USA,Canada} u {corn} ~ Coo(u)} I max(1 {u I{USA,Canada} s;;; Coo(u)} 1,1 {u I{corn}} ~ Coo(u)} I) I{u\, ... ulO,···, U30} I, I {u\ , ... ,ulO} I) -1O/max(30,1O) = 33% Also, the corresponding association rules found are presented Figure 5. {USA, Canada} ~ {fish} with confidence 66% {USA, Canada, France } ~ {fish} with confidence 100% {USA, Canada }~ {corn} with confidence 33% Figure 5: Corresponding association rules 25 As seen in the above figure that the last confidence value is too low to represent a strong connection between USA-Canada and "corn".

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Research and Development in Intelligent Systems XIX: Proceedings of ES2002, the Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence by Maarja A. Kruusmaa, Jan Willemson (auth.), Professor Max Bramer BSc, PhD, CEng, FBCS, FIEE, FRSA, Alun Preece, Dr Frans Coenen (eds.)


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