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Results: 14
Number of items: 14
  • Open Access
    Bloem, P. (2016). Single sample statistics: Exercises in learning from just one example. [Thesis, fully internal, Universiteit van Amsterdam].
  • Bloem, P., de Rooij, S., & Adriaans, P. (2015). Two problems for sophistication. In K. Chaudhuri, C. Gentile, & S. Zilles (Eds.), Algorithmic Learning Theory: 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015 : proceedings (pp. 379-394). (Lecture Notes in Computer Science; Vol. 9355), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-319-24486-0_25
  • de Vries, G. K. D., & de Rooij, S. (2015). Substructure counting graph kernels for machine learning from RDF data. Journal of Web Semantics, 35(2), 71-84. https://doi.org/10.1016/j.websem.2015.08.002
  • Open Access
    Bloem, P., Mota, F., de Rooij, S., Antunes, L., & Adriaans, P. (2014). A safe approximation for Kolmogorov complexity. In P. Auer, A. Clark, T. Zeugman, & S. Zilles (Eds.), Algorithmic Learning Theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014 : proceedings (pp. 336-350). (Lecture Notes in Computer Science; Vol. 8776), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-319-11662-4_24
  • Open Access
    de Vries, G. K. D., & de Rooij, S. (2013). A Fast and Simple Graph Kernel for RDF. In C. d'Amato, P. Berka, V. Svátek, & K. Wecel (Eds.), Proceedings of the International Workshop on Data Mining on Linked Data, with Linked Data Mining Challenge: collocated with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013) : Prague, Czech Republic, September 23, 2013 (CEUR Workshop Proceedings; Vol. 1082). CEUR-WS. http://ceur-ws.org/Vol-1082/paper2.pdf
  • de Rooij, S., & Vitányi, P. M. B. (2012). Approximating rate-distortion graphs of individual data: Experiments in lossy compression and denoising. IEEE Transactions on Computers, 61(3), 395-407. https://doi.org/10.1109/TC.2011.25
  • Koolen, W. M., & de Rooij, S. (2010). Switching investments. In M. Hutter, F. Stephan, V. Vovk, & T. Zeugmann (Eds.), Algorithmic Learning Theory: 21st international conference, ALT 2010, Canberra, Australia, October 6-8, 2010 : proceedings (pp. 239-254). (Lecture Notes in Computer Science; Vol. 6331), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-16108-7_21
  • Koolen, W. M., & de Rooij, S. (2008). Combining Expert Advice Efficiently. In A. Nijholt, M. Pantic, M. Poel, & H. Hondorp (Eds.), Proceedings of the twentieth Belgian-Dutch Conference on Artificial Intelligence: Enschede, October 30-31, 2008 (pp. 323-324). (BNAIC; Vol. 2008). University of Twente. http://eprints.eemcs.utwente.nl/13354/01/bnaic2008-proceedings.pdf
  • Open Access
    Koolen, W. M., & de Rooij, S. (2008). Combining expert advice efficiently. In R. Servedio, & T. Zhang (Eds.), Proceedings of the 21st Annual Conference on Learning Theory (pp. 275-286). Omnipress. http://www.learningtheory.org/colt2008/82-Koolen.pdf
  • Open Access
    de Rooij, S. (2008). Minimum Description Length Model Selection. [Thesis, fully internal, Universiteit van Amsterdam].
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