Difference between revisions of "Jan van Rijn"
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* [[Jan van Rijn]], [[Jonathan K. Vis]] ('''2014'''). ''Endgame Analysis of Dou Shou Qi''. [[ICGA Journal#37_2|ICGA Journal, Vol. 37, No. 2]], [http://www.liacs.nl/~jvrijn/pdf/pub/icga2014a.pdf pdf] | * [[Jan van Rijn]], [[Jonathan K. Vis]] ('''2014'''). ''Endgame Analysis of Dou Shou Qi''. [[ICGA Journal#37_2|ICGA Journal, Vol. 37, No. 2]], [http://www.liacs.nl/~jvrijn/pdf/pub/icga2014a.pdf pdf] | ||
* [[Jan van Rijn]] ('''2016'''). ''[https://openaccess.leidenuniv.nl/handle/1887/44814 Massively collaborative machine learning]''. Ph.D. thesis, [[Leiden University]] | * [[Jan van Rijn]] ('''2016'''). ''[https://openaccess.leidenuniv.nl/handle/1887/44814 Massively collaborative machine learning]''. Ph.D. thesis, [[Leiden University]] | ||
| + | * [[Jan van Rijn]], [[Frank Hutter]] ('''2017'''). ''An Empirical Study of Hyperparameter Importance Across Datasets''. [https://dblp.uni-trier.de/db/conf/pkdd/automl2017.html#RijnH17 AutoML@PKDD/ECML 2017], [http://ml.informatik.uni-freiburg.de/papers/17-AutoML-fanova.pdf pdf] | ||
=External Links= | =External Links= | ||
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=References= | =References= | ||
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'''[[People|Up one level]]''' | '''[[People|Up one level]]''' | ||
| + | [[Category:Researcher|Rijn]] | ||
Latest revision as of 19:26, 6 October 2020
Jan van Rijn [1]
Jan N. van Rijn,
a Dutch computer scientist and assistant professor at Leiden University, where he already defended his Ph.D. thesis in 2016 on massively collaborative machine learning [2], and at LIACS, his Master's thesis in 2012 on game complexity, [3] of Klondike, Mahjong, Nonogram and Dou Shou Qi (Jungle, Jungle Chess, Animals Chess) [4]. His research interests further include retrograde analysis, machine learning, and meta learning along with massively collaborative data mining, where data mining efforts are distributed to multiple collaborating agents - human or software.
Selected Publications
- Jan van Rijn (2012). Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess. Master's thesis, Leiden Institute of Advanced Computer Science, pdf
- Jan van Rijn, Joaquin Vanschoren (2013). OpenML: An Open Science Platform for Machine Learning. BENELearn 2013 [6]
- Jan van Rijn, Jonathan K. Vis (2013). Complexity and Retrograde Analysis of the Game Dou Shou Qi. BNAIC 2013
- Hendrik Jan Hoogeboom, Walter Kosters, Jan van Rijn, Jonathan K. Vis (2014, 2016). Acyclic Constraint Logic and Games. ICGA Journal, Vol 37, No. 1, arXiv:1604.05487
- 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
- Jan van Rijn, Jonathan K. Vis (2014). Endgame Analysis of Dou Shou Qi. ICGA Journal, Vol. 37, No. 2, pdf
- Jan van Rijn (2016). Massively collaborative machine learning. Ph.D. thesis, Leiden University
- Jan van Rijn, Frank Hutter (2017). An Empirical Study of Hyperparameter Importance Across Datasets. AutoML@PKDD/ECML 2017, pdf
External Links
References
- ↑ Jan N. van Rijn - LIACS
- ↑ Jan van Rijn (2016). Massively collaborative machine learning. Ph.D. thesis, Leiden University
- ↑ Jan van Rijn (2012). Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess. Master's thesis, Leiden Institute of Advanced Computer Science, pdf
- ↑ Jungle (board game) from Wikipedia
- ↑ dblp: Jan N. van Rijn
- ↑ OpenML.org
