Difference between revisions of "Jan van Rijn"

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'''[[Main Page|Home]] * [[People]] * Jan van Rijn'''
 
'''[[Main Page|Home]] * [[People]] * Jan van Rijn'''
  
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[[FILE:janvanrijn.jpg|border|right|thumb|link=http://www.liacs.nl/~jvrijn/|Jan van Rijn <ref>[http://www.liacs.nl/~jvrijn/ Jan N. van Rijn - LIACS]</ref> ]]  
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[[FILE:janvanrijn.jpg|border|right|thumb|link=http://liacs.leidenuniv.nl/~rijnjnvan/|Jan van Rijn <ref>[http://liacs.leidenuniv.nl/~rijnjnvan/ Jan N. van Rijn - LIACS]</ref> ]]  
  
 
'''Jan N. van Rijn''',<br/>
 
'''Jan N. van Rijn''',<br/>
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a Dutch computer scientist and Ph.D. student within the algorithms cluster <ref>[http://www.liacs.nl/research/algorithms-and-software-technology/about/ Algorithms and Software Technology (AST) - LIACS - Leiden Institute of Advanced Computer Science]</ref> at [[Leiden University#LIACS|Leiden Institute of Advanced Computer Science]], [[Leiden University]], where he already defended his Master's thesis in 2012 on [https://en.wikipedia.org/wiki/Game_complexity game complexity] <ref>[[Jan van Rijn]] ('''2012'''). ''Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess''. Master's thesis, [[Leiden University#LIACS|Leiden Institute of Advanced Computer Science]], [http://www.liacs.nl/assets/2012-01JanvanRijn_2.pdf pdf]</ref> of [https://en.wikipedia.org/wiki/Klondike_%28board_game%29 Klondike], [[Mahjong]], [[Nonogram]] and [[Dou Shou Qi]] (Jungle, Jungle Chess, Animals Chess) <ref>[https://en.wikipedia.org/wiki/Jungle_%28board_game%29 Jungle (board game) from Wikipedia]</ref>. His research interests further include [[Retrograde Analysis|retrograde analysis]], [[Learning|machine learning]], and [https://en.wikipedia.org/wiki/Meta_learning_%28computer_science%29 meta learning] along with massively collaborative [https://en.wikipedia.org/wiki/Data_mining data mining] <ref>[https://www.linkedin.com/pub/jan-van-rijn/15/a3/911 Jan van Rijn | LinkedIn]</ref>, where data mining efforts are distributed to multiple collaborating agents - human or software <ref>[https://www.cs.ox.ac.uk/softeng/people/Steve.Moyle/ Steve Moyle] ('''2005'''). ''[http://link.springer.com/chapter/10.1007%2F0-387-25465-X_49 Collaborative Data Mining]''. [http://link.springer.com/book/10.1007/b107408 Data Mining and Knowledge Discovery Handbook], Springer</ref>.  
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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 <ref>[[Jan van Rijn]] ('''2016'''). ''[https://openaccess.leidenuniv.nl/handle/1887/44814 Massively collaborative machine learning]''. Ph.D. thesis, [[Leiden University]]</ref>, and at [[Leiden University#LIACS|LIACS]], his Master's thesis in 2012 on [https://en.wikipedia.org/wiki/Game_complexity game complexity],  <ref>[[Jan van Rijn]] ('''2012'''). ''Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess''. Master's thesis, [[Leiden University#LIACS|Leiden Institute of Advanced Computer Science]], [http://liacs.leidenuniv.nl/~rijnjnvan/pdf/master/PlayingGamesV1_1.pdf pdf]</ref> of [https://en.wikipedia.org/wiki/Klondike_%28board_game%29 Klondike], [[Mahjong]], [[Nonogram]] and [[Dou Shou Qi]] (Jungle, Jungle Chess, Animals Chess) <ref>[https://en.wikipedia.org/wiki/Jungle_%28board_game%29 Jungle (board game) from Wikipedia]</ref>. His research interests further include [[Retrograde Analysis|retrograde analysis]], [[Learning|machine learning]], and [https://en.wikipedia.org/wiki/Meta_learning_%28computer_science%29 meta learning] along with massively collaborative [https://en.wikipedia.org/wiki/Data_mining data mining], where data mining efforts are distributed to multiple collaborating agents - human or software.  
  
 
=Selected Publications=
 
=Selected Publications=
 
<ref>[http://dblp.uni-trier.de/pers/hd/r/Rijn:Jan_N=_van.html dblp: Jan N. van Rijn]</ref>
 
<ref>[http://dblp.uni-trier.de/pers/hd/r/Rijn:Jan_N=_van.html dblp: Jan N. van Rijn]</ref>
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* [[Jan van Rijn]] ('''2012'''). ''Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess''. Master's thesis, [[Leiden University#LIACS|Leiden Institute of Advanced Computer Science]], [http://www.liacs.nl/assets/2012-01JanvanRijn_2.pdf pdf]
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* [[Jan van Rijn]] ('''2012'''). ''Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess''. Master's thesis, [[Leiden University#LIACS|Leiden Institute of Advanced Computer Science]], [http://liacs.leidenuniv.nl/~rijnjnvan/pdf/master/PlayingGamesV1_1.pdf pdf]
 
* [[Jan van Rijn]], [[Joaquin Vanschoren]] ('''2013'''). ''OpenML: An Open Science Platform for Machine Learning''. [http://benelearn2013.org/ BENELearn 2013] <ref>[http://www.openml.org/ OpenML.org]</ref>
 
* [[Jan van Rijn]], [[Joaquin Vanschoren]] ('''2013'''). ''OpenML: An Open Science Platform for Machine Learning''. [http://benelearn2013.org/ BENELearn 2013] <ref>[http://www.openml.org/ OpenML.org]</ref>
 
* [[Jan van Rijn]], [[Jonathan K. Vis]] ('''2013'''). ''Complexity and Retrograde Analysis of the Game Dou Shou Qi''. [http://bnaic2013.tudelft.nl/ BNAIC 2013]
 
* [[Jan van Rijn]], [[Jonathan K. Vis]] ('''2013'''). ''Complexity and Retrograde Analysis of the Game Dou Shou Qi''. [http://bnaic2013.tudelft.nl/ BNAIC 2013]
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* [[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]
 
* [[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]
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* [[Jan van Rijn]] ('''2016'''). ''[https://openaccess.leidenuniv.nl/handle/1887/44814 Massively collaborative machine learning]''. Ph.D. thesis, [[Leiden University]]
  
 
=External Links=
 
=External Links=

Revision as of 19:15, 6 October 2020

Home * People * Jan van Rijn

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

[5]

External Links

References

  1. ↑ Jan N. van Rijn - LIACS
  2. ↑ Jan van Rijn (2016). Massively collaborative machine learning. Ph.D. thesis, Leiden University
  3. ↑ 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
  4. ↑ Jungle (board game) from Wikipedia
  5. ↑ dblp: Jan N. van Rijn
  6. ↑ OpenML.org

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