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Results: 118
Number of items: 118
  • de Boer, V., van Someren, M. W., & Wielinga, B. J. (2007). A Redundancy-Based Method for the Extraction of Relation. International Journal of Human-Computer Studies, 65(9), 816-831. https://doi.org/10.1016/j.ijhcs.2007.05.002
  • van Someren, M. W., Katrenko, S., & Adriaans, P. W. (2007). Benelearn 2007, Proceedings of The Annual Belgian-Dutch Machine Learning Conference 2007. University of Amsterdam.
  • van Someren, M. W., Katrenko, S., & Adriaans, P. W. (2007). Benelearn 2007, Workshop Notes Machine Learning for Natural. Universiteit van Amsterdam.
  • de Boer, V., van Someren, M. W., & Wielinga, B. J. (2006). Extracting Instances of Relations from Web Documents using Redundancy. Lecture Notes in Computer Science, 4011, 245-258. http://staff.science.uva.nl/~vdeboer/publications/eswc06paper.pdf
  • de Boer, V., van Someren, M. W., & Wielinga, B. J. (2006). Relation Instantiation for Ontology Population using the Web. Lecture Notes in Computer Science, 4314.
  • de Boer, V., van Someren, M. W., & Wielinga, B. J. (2006). A Redundancy-based Method for Relation Instantiation from the Web. In A. Perini, L. Penserini, & P. Peppas (Eds.), Proceedings of the 17th European Conference on Artificial Intelligence (ECAI 2006) (pp. 749-750). IOS Press.
  • Hollink, V., & van Someren, M. W. (2006). Validating Navigation Time Prediction Models for Menu Optimization. In Proceedings of the 14th Workshop on Adaptivity and User Modeling in Interactive Systems
  • Hollink, V., & van Someren, M. W. (2006). DUMPERS: Boosting the efficiency of web menus. In Proceedings of the ToKeN Symposium
  • Ackermann, M., Berendt, B., Grobelnik, M., Hotho, A., Mladenic, D., Semeraro, G., Spiliopoulou, M., Stumme, G., Svatek, V., & van Someren, M. W. (2006). Semantics, Web and Mining. (Lecture Notes in Computer Science; No. 4289). Springer.
  • van Someren, M. W., & Urbancic, T. (2006). Applications of Machine Learning - matching problems to tasks and methods. Knowledge Engineering Review, 20(4), 363-402. https://doi.org/10.1017/S0269888906000762
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