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Results: 118
Number of items: 118
  • van Rijn, H., van Someren, M. W., Wielinga, B. J., & Bredeweg, B. (1999). A rational analysis of discovery tasks: The role of assumptions in discovery learning. In Eight Conference for Research on Learning and Instruction (pp. 545-547).
  • Verdenius, F., & van Someren, M. W. (1999). Top-down Design and Construction of Knowledge-Based Systems with Manual And Inductive Techniques. In B. Gaines, & R. Kremer (Eds.), Proceedings 12th Knowledge Acquisition Workshop Banff (abstract in Proceedings BNAIC 1999)
  • van Someren, M. W., Reimann, P., Boshuizen, H. P. A., & de Jong, T. (Eds.) (1998). Learning with multiple representations. (Advances in learning and instruction series). Pergamon.
  • de Jong, T., Ainsworth, S., Dobson, M., van der Hulst, A., Levonen, J., Reimann, P., Sime, J.-A., van Someren, M. W., Spada, H., & Swaak, J. (1998). Acquiring knowledge in science and mathematics: the use of multiple representations in technology-based learning environments. In M. W. van Someren, P. Reimann, H. P. A. Boshuizen, & T. de Jong (Eds.), Learning with multiple representations (pp. 9-40). (Advances in learning and instruction series). Pergamon.
  • Beys, P., & van Someren, M. W. (1997). A systematic approach to the functionality of problem solving methods. In R. Benjamins, & E. Plaza (Eds.), Proceedings of the 10th European Workshop EKAW'97, Sant Feliu de Guixols, Catalonia, Spain, volume 1319 of Lecture Notes in Computer Science (pp. 17-32). Springer-Verlag.
  • Verdenius, F., & van Someren, M. W. (1997). Applications of inductive learning techniques: a survey in the Netherlands. AI Communications, 10(1), 3-20.
  • van Someren, M. W., Torasso, P., & Surma, J. (1997). A utility-based approach to learning in a mixed CBR-MBR architecture. In E. Plaza, & D. Leake (Eds.), Case-based reasoning research and development, lecture notes in Artificial Intelligence 1266 (pp. 477-488). Springer Verlag.
  • van Someren, M. W., Torres, C., & Verdenius, F. (1997). A systematic description of greedy optimization algorithms for cost-sensitive generalization. In X. Lui, & P. Cohen (Eds.), Proceedings Intelligent Data Analysis 1997 (IDA-97) (pp. 247-258). Springer Verlag.
  • van Someren, M. W., & Widmer, G. (1997). Machine learning: ECML-97. Lecture Notes in AI 1224. (Lecture notes in Artificial Intelligence; No. 1224). Springer Verlag.
  • Verdenius, F., & van Someren, M. W. (1995). Applications of Inductive Learning Techniques. In X. L. Hui, & G. E. Lasker (Eds.), Proceedings of the Symposium on Intelligent Data Analysis (pp. 206-210). Windsor.
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