Difference between revisions of "Bernhard Pfahringer"
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* [https://dblp.uni-trier.de/pers/hd/h/Hall:Mark_A= Mark A. Hall], [https://dblp.uni-trier.de/pers/hd/f/Frank:Eibe Eibe Frank], [[Geoffrey Holmes]], [[Bernhard Pfahringer]], [https://dblp.uni-trier.de/pers/hd/r/Reutemann:Peter Peter Reutemann], [[Ian H. Witten]] ('''2009'''). ''The WEKA data mining software: an update''. [https://dblp.uni-trier.de/db/journals/sigkdd/sigkdd11.html SIGKDD Explorations], Vol. 11, No. 1, [https://www.kdd.org/exploration_files/p2V11n1.pdf pdf] <ref>[https://en.wikipedia.org/wiki/Weka_(machine_learning) Weka (machine learning) from Wikipedia]</ref> | * [https://dblp.uni-trier.de/pers/hd/h/Hall:Mark_A= Mark A. Hall], [https://dblp.uni-trier.de/pers/hd/f/Frank:Eibe Eibe Frank], [[Geoffrey Holmes]], [[Bernhard Pfahringer]], [https://dblp.uni-trier.de/pers/hd/r/Reutemann:Peter Peter Reutemann], [[Ian H. Witten]] ('''2009'''). ''The WEKA data mining software: an update''. [https://dblp.uni-trier.de/db/journals/sigkdd/sigkdd11.html SIGKDD Explorations], Vol. 11, No. 1, [https://www.kdd.org/exploration_files/p2V11n1.pdf pdf] <ref>[https://en.wikipedia.org/wiki/Weka_(machine_learning) Weka (machine learning) from Wikipedia]</ref> | ||
==2010 ...== | ==2010 ...== | ||
| + | * [https://dblp.uni-trier.de/pers/hd/f/Frank:Eibe Eibe Frank], [https://dblp.uni-trier.de/pers/hd/h/Hall:Mark_A= Mark A. Hall], [[Geoffrey Holmes]], [https://dblp.uni-trier.de/pers/hd/k/Kirkby:Richard Richard Kirkby], [[Bernhard Pfahringer]], [[Ian H. Witten]], [https://dblp.uni-trier.de/pers/hd/t/Trigg:Leonard_E= Len Trigg] ('''2010'''). ''[https://link.springer.com/chapter/10.1007/978-0-387-09823-4_66 Weka-A Machine Learning Workbench for Data Mining]''. [https://link.springer.com/book/10.1007/978-0-387-09823-4 Data Mining and Knowledge Discovery Handbook], [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer] | ||
* [[Jan van Rijn]], [[Geoffrey Holmes]], [[Bernhard Pfahringer]], [[Joaquin Vanschoren]] ('''2014'''). ''[http://link.springer.com/chapter/10.1007/978-3-319-11812-3_28 Algorithm Selection on Data Streams]''. [http://ds2014.ijs.si/ DS 2014] | * [[Jan van Rijn]], [[Geoffrey Holmes]], [[Bernhard Pfahringer]], [[Joaquin Vanschoren]] ('''2014'''). ''[http://link.springer.com/chapter/10.1007/978-3-319-11812-3_28 Algorithm Selection on Data Streams]''. [http://ds2014.ijs.si/ DS 2014] | ||
* [[Jan van Rijn]], [[Geoffrey Holmes]], [[Bernhard Pfahringer]], [[Joaquin Vanschoren]] ('''2014'''). ''[http://ceur-ws.org/Vol-1201/ Towards Meta-learning over Data Streams]''. [http://metasel2014.inescporto.pt/ MetaSel 2014] | * [[Jan van Rijn]], [[Geoffrey Holmes]], [[Bernhard Pfahringer]], [[Joaquin Vanschoren]] ('''2014'''). ''[http://ceur-ws.org/Vol-1201/ Towards Meta-learning over Data Streams]''. [http://metasel2014.inescporto.pt/ MetaSel 2014] | ||
Latest revision as of 14:24, 26 May 2019
Home * People * Bernhard Pfahringer
Bernhard Pfahringer [1]
Bernhard Pfahringer,
an Austrian computer scientist and AI researcher, since 2000 associate professor at the Computer Science Department at the University of Waikato, New Zealand. His research interests covers Machine Learning and Programming Languages.
Contents
Selected Publications
1995 ...
- Bernhard Pfahringer (1995). Practical Uses of the Minimum Description Length Principle in Inductive Learning. Ph.D. thesis, TU Vienna, advisor Gerhard Widmer
- Bernhard Pfahringer, Stefan Kramer (1995). Compression-Based Evaluation of Partial Determinations. KDD-95, AAAI Press, pdf [4]
- Johannes Fürnkranz, Bernhard Pfahringer (1998). Guest Editorial: First-Order Knowledge Discovery in Databases. Applied Artificial Intelligence, Vol. 12, No. 5, 345-362, 1998
2000 ...
- Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer (2000). Learning to Use Operational Advice. ECAI-00, pdf
- Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark A. Hall (2002). Multiclass Alternating Decision Trees. ECML, pdf
- Mark A. Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten (2009). The WEKA data mining software: an update. SIGKDD Explorations, Vol. 11, No. 1, pdf [5]
2010 ...
- Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian H. Witten, Len Trigg (2010). Weka-A Machine Learning Workbench for Data Mining. Data Mining and Knowledge Discovery Handbook, Springer
- Jan van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren (2014). Algorithm Selection on Data Streams. DS 2014
- Jan van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren (2014). Towards Meta-learning over Data Streams. MetaSel 2014
- Bernhard Pfahringer (2017). Disjunctive Normal Form. In: Claude Sammut, Geoffrey I. Webb (eds) Encyclopedia of Machine Learning and Data Mining. Springer
- Bernhard Pfahringer (2017). Conjunctive Normal Form. In: Claude Sammut, Geoffrey I. Webb (eds) Encyclopedia of Machine Learning and Data Mining. Springer
External Links
- Homepage of Bernhard Pfahringer
- Bernhard Pfahringer - Google Scholar Citations
- Bernhard Pfahringer - Computer Science Department, University of Waikato - VideoLectures.NET
References
- ↑ Image from Homepage of Bernhard Pfahringer (cropped)
- ↑ Bernhard Pfahringer's publications
- ↑ dblp: Bernhard Pfahringer
- ↑ Johannes Fürnkranz (1997). Knowledge Discovery in Chess Databases: A Research Proposal. Technical Report OEFAI-TR-97-33, Austrian Research Institute for Artificial Intelligence, zipped ps, pdf 3.6 Non-classification techniques: ... General dependencies [Pfahringer and Kramer, 1995] might find interesting applications in chess databases for discovering typical piece-patterns, such as “In many cases when white castles queen-sides, he will sooner or later play h4.”
- ↑ Weka (machine learning) from Wikipedia
