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  • van der Smagt, P. P. P., Groen, F. C. A., & van het Groenewoud, F. (1994). Robotic Hand-Eye Coordination using Multi-Resolution Linear Perceptron Representation. In H. W. Klijn Hesselink, H. M. Groenboom, & M. M. Lankhorst (Eds.), Proceedings of the 1994 Groningen Student Conference on Computer Science (pp. 85-92). Rijksuniversiteit Groningen.
  • van Dijk, S., & Stevens, C. W. M. (1994). Avant-propos. In C. W. M. Stevens, & S. van Dijk (Eds.), (En)jeux de la communication romanesque. Hommage a Francoise van Rossum-Guyon (pp. v-vii). Rodopi.
  • van der Smagt, P. P. P., Groen, F. C. A., & van het Groenewoud, F. (1994). The locally linear nested network for robot manipulation. In D. Ruck, S. Rogers, M. Wada, & D. Bounds (Eds.), Proceedings of the IEEE International Conference on Neural Networks (pp. 2787-2792). IEEE.
  • Stevens, C. W. M. (1994). Geniepige vrouwenhaters [Review of: @ @ (1994) Mysogynies (Les Cahiers du Grif 47, 1993)]. In Unknown
  • van Harmelen, F. A. H. (1994). A model of costs and benefits of meta-level computation. In F. Turini (Ed.), Proceedings of the META'94 Workshop on meta-programming in Logic (pp. 1-13). (LNCS; No. 883). Springer Verlag.
  • Dik, S. C. (1994). Verbal semantics in Functional Grammar. In H. Basboll, C. Bache, & C. E. Lindberg (Eds.), Tense, Aspect and Action. Empirical and Theoretical Contributions to Language Typology (pp. 23-42). Mouton de Gruyter.
  • van der Smagt, P. P. P. (1994). Simderella: a robot simulator for neuro-controller design. Neurocomputing, 6(2), 281-285. https://doi.org/10.1016/0925-2312(94)90063-9
  • Bultheel, A., Gonzalez-Vera, P., Hendriksen, E., & Njastad, O. (1994). Orthogonality and boundary interpolation. In M. J. Cuyt (Ed.), Nonlinear Numerical Methods and Rational Approximation II (pp. 37-48). Kluwer.
  • Orange, C. M., & Groen, F. C. A. (1994). Magnetic Contour Tracing. In R. Jain, & A. R. Roa (Eds.), Workshop on Visualization and Machine Vision (pp. 33-44). IEEE Computer Society.
  • van der Smagt, P. P. P. (1994). Minimisation methods for training feed-forward networks. Neural Networks, 7(1), 1-11.
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