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Likas, A., Vlassis, N., & Verbeek, J. J. (2003). The global k-means clustering algorithm. Pattern Recognition, 36(2), 451-461.
Verbeek, J. J., Vlassis, N., & Kröse, B. J. A. (2003). Efficient Greedy Learning of Gaussian Mixture Models. Neural Computation, 15(2), 469-485. https://doi.org/10.1162/089976603762553004
Kok, J. R., & Vlassis, N. (2003). The Pursuit Domain Package. (IAS-UVA-03; No. 03). Informatics Institute.
Portegies Zwart, J., Kröse, B. J. A., & Gelsema, S. (2003). Aircraft Classification from Estimated Models of Radar Scattering. (IAS-UVA-03; No. 02). Informatics Institute.
Kloosterman, F., van Haeften, T., Witter, M. P., & Lopes da Silva, F. H. (2003). Electrophysiological characterization of interlaminar entorhinal connections: an essential link for re-entrance in the hippocampal-entorhinal system. European Journal of Neuroscience, 11, 3037-3052.
Lopes da Silva, F. H., Blanes, W., Kalitzin, S., Parra, J., Suffczynski, P., & Velis, D. N. (2003). Epilepsies as dynamical diseases of brain systems: basic models of the transition between normal and epileptic activity. Epilepsia, 44, 72-83.
Adriaans, P. W. (2003). From knowledge-based to skill-based systems, sailing as a machine learning challenge. In L. T. Mada Lavrac, & D. Gamberger (Eds.), Machine Learning: ECML 2003: 14th European Conference on Machine Learning (Vol. 2837, pp. 1-8). Springer-Verlag Heidelberg.
Adriaans, P. W. (2003). Robot op zee. Boom.
Dijkgraaf, R. H., Sinkovics, A., & Temürhan, M. (2003). Matrix models and gravitational corrections. Advances in Theoretical and Mathematical Physics, 7(6), 1155-1174.
(et al.) Chekanov, S. V., Grijpink, S. J. L. A., Koffeman, E. N., Kooijman, P. M., Maddox, E., Schagen, S. E. S., Tiecke, H. G. J. M., Velthuis, J. J., & de Wolf, E. (2003). ZEUS next-to-leading-order QCD analysis of data on deep inelastic scattering. Physical Review D. Particles and Fields, 67(1), 012007. https://doi.org/10.1103/PhysRevD.67.012007

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Likas, A., Vlassis, N., & Verbeek, J. J. (2003). The global k-means clustering algorithm. Pattern Recognition, 36(2), 451-461.

Verbeek, J. J., Vlassis, N., & Kröse, B. J. A. (2003). Efficient Greedy Learning of Gaussian Mixture Models. Neural Computation, 15(2), 469-485. https://doi.org/10.1162/089976603762553004

Kok, J. R., & Vlassis, N. (2003). The Pursuit Domain Package. (IAS-UVA-03; No. 03). Informatics Institute.

Portegies Zwart, J., Kröse, B. J. A., & Gelsema, S. (2003). Aircraft Classification from Estimated Models of Radar Scattering. (IAS-UVA-03; No. 02). Informatics Institute.

Kloosterman, F., van Haeften, T., Witter, M. P., & Lopes da Silva, F. H. (2003). Electrophysiological characterization of interlaminar entorhinal connections: an essential link for re-entrance in the hippocampal-entorhinal system. European Journal of Neuroscience, 11, 3037-3052.

Lopes da Silva, F. H., Blanes, W., Kalitzin, S., Parra, J., Suffczynski, P., & Velis, D. N. (2003). Epilepsies as dynamical diseases of brain systems: basic models of the transition between normal and epileptic activity. Epilepsia, 44, 72-83.

Adriaans, P. W. (2003). From knowledge-based to skill-based systems, sailing as a machine learning challenge. In L. T. Mada Lavrac, & D. Gamberger (Eds.), Machine Learning: ECML 2003: 14th European Conference on Machine Learning (Vol. 2837, pp. 1-8). Springer-Verlag Heidelberg.

Adriaans, P. W. (2003). Robot op zee. Boom.

Dijkgraaf, R. H., Sinkovics, A., & Temürhan, M. (2003). Matrix models and gravitational corrections. Advances in Theoretical and Mathematical Physics, 7(6), 1155-1174.

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Likas, A., Vlassis, N., & Verbeek, J. J. (2003). The global k-means clustering algorithm. Pattern Recognition, 36(2), 451-461.

Verbeek, J. J., Vlassis, N., & Kröse, B. J. A. (2003). Efficient Greedy Learning of Gaussian Mixture Models. Neural Computation, 15(2), 469-485. https://doi.org/10.1162/089976603762553004

Kok, J. R., & Vlassis, N. (2003). The Pursuit Domain Package. (IAS-UVA-03; No. 03). Informatics Institute.

Portegies Zwart, J., Kröse, B. J. A., & Gelsema, S. (2003). Aircraft Classification from Estimated Models of Radar Scattering. (IAS-UVA-03; No. 02). Informatics Institute.

Kloosterman, F., van Haeften, T., Witter, M. P., & Lopes da Silva, F. H. (2003). Electrophysiological characterization of interlaminar entorhinal connections: an essential link for re-entrance in the hippocampal-entorhinal system. European Journal of Neuroscience, 11, 3037-3052.

Lopes da Silva, F. H., Blanes, W., Kalitzin, S., Parra, J., Suffczynski, P., & Velis, D. N. (2003). Epilepsies as dynamical diseases of brain systems: basic models of the transition between normal and epileptic activity. Epilepsia, 44, 72-83.

Adriaans, P. W. (2003). From knowledge-based to skill-based systems, sailing as a machine learning challenge. In L. T. Mada Lavrac, & D. Gamberger (Eds.), Machine Learning: ECML 2003: 14th European Conference on Machine Learning (Vol. 2837, pp. 1-8). Springer-Verlag Heidelberg.

Adriaans, P. W. (2003). Robot op zee. Boom.

Dijkgraaf, R. H., Sinkovics, A., & Temürhan, M. (2003). Matrix models and gravitational corrections. Advances in Theoretical and Mathematical Physics, 7(6), 1155-1174.