Algorithmic Learning Theory: 9th International Conference, by Michael M. Richter, Carl H. Smith, Rolf Wiehagen, Thomas

By Michael M. Richter, Carl H. Smith, Rolf Wiehagen, Thomas Zeugmann

This quantity includes the entire papers awarded on the 9th overseas Con- rence on Algorithmic studying concept (ALT’98), held on the ecu schooling centre Europ¨aisches Bildungszentrum (ebz) Otzenhausen, Germany, October eight{ 10, 1998. The convention used to be subsidized by means of the japanese Society for Arti cial Intelligence (JSAI) and the college of Kaiserslautern. Thirty-four papers on all facets of algorithmic studying conception and similar components have been submitted, all electronically. Twenty-six papers have been permitted through this system committee in response to originality, caliber, and relevance to the speculation of laptop studying. also, 3 invited talks offered via Akira Maruoka of Tohoku college, Arun Sharma of the college of recent South Wales, and Stefan Wrobel from GMD, respectively, have been featured on the convention. we want to precise our honest gratitude to our invited audio system for sharing with us their insights on new and interesting advancements of their parts of analysis. This convention is the 9th in a chain of annual conferences confirmed in 1990. The ALT sequence makes a speciality of all components relating to algorithmic studying thought together with (but now not restricted to): the idea of computing device studying, the layout and research of studying algorithms, computational good judgment of/for laptop discovery, inductive inference of recursive services and recursively enumerable languages, studying through queries, studying via arti cial and organic neural networks, development acceptance, studying by way of analogy, statistical studying, Bayesian/MDL estimation, inductive good judgment programming, robotics, program of studying to databases, and gene analyses.

Show description

Read Online or Download Algorithmic Learning Theory: 9th International Conference, ALT’98 Otzenhausen, Germany, October 8–10, 1998 Proceedings PDF

Similar data mining books

Geographic Information Systems and Health Applications

Using Geographic info platforms (GIS) within the well-being area is an concept whose time has come. the present functions of GIS in healthiness are diversified and wide. the current GIS surroundings is seriously pushed by way of know-how and such an method is certainly logical for the main half. although, the wishes of less-developed international locations in using the suggestions and applied sciences of mapping shouldn't be overlooked within the carrying on with evolution of GIS.

PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim International Conference on Artificial Intelligence, Gold Coast, QLD, Australia, December 1-5, 2014. Proceedings

This e-book constitutes the refereed court cases of the thirteenth Pacific Rim convention on synthetic Intelligence, PRICAI 2014, held in Gold Coast, Queensland, Australia, in December 2014. The seventy four complete papers and 20 brief papers provided during this quantity have been rigorously reviewed and chosen from 203 submissions.

Thinking Ahead: Essays on Big Data, Digital Revolution, and Participatory Market Society

The speedily progressing electronic revolution is now touching the rules of the governance of societal constructions. people are at the verge of evolving from shoppers to prosumers, and outdated, entrenched theories – particularly sociological and fiscal ones – are falling prey to those swift advancements.

Architecting HBase Applications: A Guidebook for Successful Development and Design

Plenty of HBase books, on-line HBase publications, and HBase mailing lists/forums can be found if you would like to understand how HBase works. but when you need to take a deep dive into use instances, gains, and troubleshooting, Architecting HBase functions is the correct resource for you. With this publication, you will examine a managed set of APIs that coincide with use-case examples and simply deployed use-case types, in addition to sizing / top practices to assist leap commence what you are promoting program improvement and deployment.

Additional info for Algorithmic Learning Theory: 9th International Conference, ALT’98 Otzenhausen, Germany, October 8–10, 1998 Proceedings

Example text

Term comparisons in rst-order similarity measures. In David Page, editor, Proc. 8th Int. Conference on Inductive Logic Programming (ILP98), Madison, WI, USA, July 1998. [BM92] Michael Bain and Stephen Muggleton. Non-monotonic learning. In Stephen Muggleton, editor, Inductive Logic Programming. Academic Press, London, New York, 1992. [CL96] Bradley P. Carlin and Thomas A. Louis. Bayes and empirical Bayes methods for data analysis. Chapman and Hall, London, 1996. [CN89] Peter Clark and Tim Niblett.

NCW97] Shan-Hwei Nienhuys-Cheng and Ronald de Wolf. Foundations of Inductive Logic Programming. LNAI Tutorial 1228. Springer Verlag, Berlin, New York, 1997. [Olk93] Frank Olken. Random Sampling From Databases. PhD thesis, Univ. of California at Berkeley, 1993. [Plo70] Gordon D. Plotkin. A note on inductive generalization. In B. Meltzer and D. Michie, editors, Machine Intelligence 5, chapter 8, pages 153 { 163. Edinburgh Univ. Press, Edinburgh, 1970. R. Quinlan. Learning logical de nitions from relations.

This structuring of the search allows the basic forms of pruning. Whenever a hypothesis is found to exclude all (or enough) negative examples, we need not consider any of its re nements. Similarly, whenever a hypothesis is found to cover too few positive examples, it and all its re nements can be excluded from consideration. Further optimizations are possible if an optimal re nement operator is used. A re nement operator is optimal if each hypothesis is produced along exactly one re nement path.

Download PDF sample

Rated 4.49 of 5 – based on 45 votes