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Journal Articles
- Solving Go for Rectangular Boards.
E.C.D. van der Werf, M.H.M. Winands (2009).
ICGA Journal. Vol.32, No. 2, pp. 77-88.
- Enhanced Forward Pruning.
M.H.M. Winands, H.J. van den Herik, J.W.H.M. Uiterwijk, E.C.D. van der Werf (2005)
Information Sciences. Vol.175(4), pp. 315-329.
Conference Articles
- Bayesian Feature Selection for Hearing Aid Personalization.
A. Ypma, S. Ozer, E.C.D. van der Werf, B. de Vries (2007)
IEEE Int. Workshop on Machine Learning for Signal Processing, Thessaloniki, Greece.
- Learning to Estimate Potential Territory in the Game of Go.
E.C.D. van der Werf, H.J. van den Herik, J. W. H. M. Uiterwijk (2006).
In LNCS 3846: Computers and Games.
4th International Conference, CG 2004, Ramat-Gan, Israel, July 2004, Revised Papers, eds. H.J. van den Herik, Y. Björnsson, N.S. Netanyahu. pp. 81-96.
© Springer-Verlag. ISBN: 3-540-32488-7
- The Relative History Heuristic.
M.H.M. Winands, E.C.D. van der Werf, H.J. van den Herik, J. W. H. M. Uiterwijk (2006).
In LNCS 3846: Computers and Games.
4th International Conference, CG 2004, Ramat-Gan, Israel, July 2004, Revised Papers, eds. H.J. van den Herik, Y. Björnsson, N.S. Netanyahu. pp. 262-272.
© Springer-Verlag. ISBN: 3-540-32488-7
- Learning to Score Final Positions in the Game of Go.
E.C.D. van der Werf, H.J. van den Herik, J.W.H.M. Uiterwijk (2003)
In Advances in Computer Games: Many Games, Many Challenges
(Proceedings of the 10th Advances in Computer Games Conference (ACG-10), eds. H.J. van den Herik, H. Iida, E.A. Heinz.), pp. 143-158.
Kluwer Academic Publishers/Boston, © 2004 by IFIP. ISBN 1-4020-7709-2
[pdf]
- Learning to Predict Life and Death from Go Game Records.
E.C.D. van der Werf, M.H.M. Winands, H.J. van den Herik, J.W.H.M. Uiterwijk (2003)
Proceedings of JCIS 2003 7th Joint Conference on Information Sciences
(Research Triangle Park, North Carolina, USA, eds. Ken Chen et.al.), pp. 501-504.
JCIS/Association for Intelligent Machinery, Inc. ISBN 0-9707890-2-5.
[4-page paper summary]
- Local move prediction in Go.
E.C.D. van der Werf, J.W.H.M. Uiterwijk, E.O. Postma, H.J. van den Herik (2003).
In LNCS 2883: Computers and Games.
Third International Conference, CG 2002, Edmonton, Canada, July 2002, Revised Papers, eds. J. Schaeffer, M. Müller, Y. Björnsson. pp. 393-412.
© Springer-Verlag. ISBN: 3-540-20545-4
[ Abstract ][fig6]
- Solving Ponnuki-Go on Small Boards. E.C.D. van der Werf, J.W.H.M. Uiterwijk, H.J. van den Herik (2002).
Proceedings of BNAIC'02 14th Belgian-Dutch Artificial Intelligence Conference (Leuven, BE, October 21-22, eds. H. Blockeel and M. Denecker), pp. 347-354. K.U.Leuven, Leuven.
- Programming a Computer to Play and Solve Ponnuki-Go. E.C.D. van der Werf, J.W.H.M. Uiterwijk, H.J. van den Herik (2002).
In proceedings of GAME-ON 2002 3rd International Conference on Intelligent Games and Simulation. (London, UK, November 29-30, eds. Quasim Mehdi, Norman Gough and Marc Cavazza). SCS Europe Bvba. ISBN 90-77039-10-4.
- Learning Connectedness in Binary Images.
E.C.D. van der Werf, J.W.H.M. Uiterwijk, H.J. van den Herik (2001).
Proceedings of BNAIC'01 13th Belgian-Dutch Artificial Intelligence Conference (Amsterdam, NL, October 25-26, eds. B. Krose, M. de Rijke, G. Schreiber, M. van Someren), pp. 459-466. Universiteit van Amsterdam, Amsterdam.
- Improved image features by training non-linear diabolo networks.
E.C.D. van der Werf, R.P.W. Duin (1999).
Proceedings of ASCI'99 5th annual Conference of the Advanced School for Computing and Imaging (ASCI'99)
(Heijen, NL, June 15-17, eds. M.Boasson, J.A. Kaandorp, J.F.M. Tonino, M.G. Vosselman), pp.229-234. ASCI, Delft.
Theses
- Non-linear target based feature extraction by diabolo networks.
E.C.D. van der Werf (1999).
Master's thesis. Pattern Recognition Group, Department of Applied Physics, Faculty of Applied Sciences, Delft University of Technology. [pdf]
Workshop articles
- Visual Learning in Go. E.C.D. van der Werf, H.J. van den Herik (2001).
The CMG Sixth Computer Olympiad Computer-Games Workshop Proceedings (Maastricht, NL, August 25-30, ed. J.W.H.M. Uiterwijk). Report CS 01-04, IKAT, Department of Computer Science, Universiteit Maastricht, The Netherlands.
Miscellaneous
- AI technieken voor het spel Go.
E.C.D. van der Werf (2005).
Go Tijdschrift van de Nederlandse Go-Bond Vol.42, No. 2, pp. 52-54.
- Go at the frontiers of AI.
E.C.D. van der Werf (2005).
ICGA Journal Vol.28, No. 1, pp. 46-47.
- Aya wins 9x9 Go Tournament.
E.C.D. van der Werf (2003).
ICGA Journal Vol.26, No. 4, pp. 263.
- The third international conference on computers and games.
L. Kocsis and E.C.D. van der Werf (2002).
ICGA Journal Vol.25, No. 4, pp. 259.
- Go4++ wins 9x9 Go Tournament.
E.C.D. van der Werf (2002).
ICGA Journal Vol.25, No. 3, pp. 181.