Publications

Chad M. Cumby and Dan Roth. Learning with Feature Description Logics. In Stan Matwin and Claude Sammut, editor(s), Proceedings of the 12th International Conference on Inductive Logic Programming (ILP 2002), July 9--11, 2002, Sydney, Australia --- Revised Papers, 2583:32--47,Springer, Berlin--Heidelberg, Germany,2003. [BibSonomy: propositionalization structured-data ml]

Trevor Hastie and Robert Tibshirani and Jerome Friedman. The Elements of Statistical Learning. Springer Series in Statistics, Springer New York Inc.,New York, NY, USA,2001. [BibSonomy: statistics ml]

Thomas Mitchell. Machine Learning. McGraw-Hill,New York, NY, USA,1997. [BibSonomy: ml] URL

Proceedings of the Workshop on Learning in Web Search (LWS 2005). In Stephan Bloehdorn and Wray Buntine and Andreas Hotho, editor(s), 2005. [BibSonomy: ir ml sb-editor sb] URL

J.W. Lloyd. Logic for Learning: Learning Comprehensible Theories from Structured Data. Springer,Berlin--Heidelberg, Germany,2003. [BibSonomy: ml logic]

John Shawe-Taylor and Nello Cristianini. Kernel Methods for Pattern Analysis. Cambridge University Press,Cambridge, UK,2004. [BibSonomy: svm ml classification kernels]

Nello Cristianini and John Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press,Cambridge, UK,2000. [BibSonomy: kernels ml svm]

William W. Cohen and Haym Hirsh. Learning the CLASSIC Description Logic: Theoretical and Experimental Results. In Jon Doyle and Erik Sandewall and Pietro Torasso, editor(s), Proceedings of the 4th International Conference on Principles of Knowledge Representation and Reasoning (KR'94), May 24-27, 1994, Bonn, Germany, 121--133,Morgan-Kauffman Publishers, San Francisco, CA, USA,1994. [BibSonomy: ml DL]

Stephan Bloehdorn and Andreas Hotho. Machine Learning and Ontologies. In Steffen Staab and Rudi Studer, editor(s), Handbook on Ontologies, Springer,Berlin--Heidelberg, Germany,2008. [BibSonomy: ontologies ml]

T. Cover and P. Hart. Nearest neighbor pattern classification. IEEE Transactions on Information Theory, (13):21- 27,1967. [BibSonomy: ml algorithms seminal] URL

Floriana Esposito and Nicola Fanizzi and Luigi Iannone and Ignazio Palmisano and Giovanni Semeraro. Knowledge-Intensive Induction of Terminologies from Metadata. In Sheila A. McIlraith and Dimitris Plexousakis and Frank van Harmelen, editor(s), The Semantic Web - ISWC 2004: Third International Semantic, (3298):441-455,Springer,2004. [BibSonomy: similarity ontology ml]

P. Edwards and G. AA. Grimnes and A. Preece. An Empirical Investigation of Learning from the Semantic Web. ECML/PKDD, Semantic Web Mining Workshop, 71-89,2002. [BibSonomy: ml semweb]

M. J. Kearns and U. V. Vazirani. An Introduction to Computational Learning Theory. MIT Press,Cambridge, MA, USA,1994. [BibSonomy: ml theory]

Martin Ester and Jörg Sander. Knowledge Discovery in Databases : Techniken und Anwendungen. Springer,2000. [BibSonomy: ml] URL

Ian H. Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Series in Data Management Sys, Morgan Kaufmann,2005. [BibSonomy: ml textbook] URL

Ian H. Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann,1999. [BibSonomy: kdd ml datamining] URL

Michael R. Berthold and David J. Hand. Intelligent Data Analysis. Springer,2003. [BibSonomy: kdd ml datamining] URL

Ethem Alpaydin. Introduction to Machine Learning (Adaptive Computation and Machine Learning). The MIT Press,2004. [BibSonomy: ml] URL

Andrew Kachites McCallum and Kamal Nigam and Jason Rennie and Kristie Seymore. Automating the Construction of Internet Portals with Machine Learning. Information Retrieval, (3)2:127--163,Kluwer Academic Publishers,Hingham, MA, USA,2000. [BibSonomy: dataset ir ml]

Aleks Jakulin and Ivan Bratko. Quantifying and Visualizing Attribute Interactions. CoRR, (cs.AI/0308002)2003. [BibSonomy: ml statistics] URL