Publications

Found 114 results
Author Title [ Type(Desc)] Year
Filters: Author is Bernard Manderick  [Clear All Filters]
Book
Männer, R., & Manderick, B.. (1992). Parallel Problem Solving from Nature, 2, Brussels, 28.-30. September 1992 (Vol. 22). Elsevier Science Publishers, Amsterdam. ga: PPSN2.
Book Chapter
Deb, K., Altenberg, L., Manderick, B., Mitchell, M., & Forrest, S.. (1997). Fitness landscapes. In Handbook of Evolutionary Computation.
Conference Paper
Taminau, J., Hillewaere, R., Meganck, S., Conklin, D., Nowé, A., & Manderick, B.. (2010). Applying subgroup discovery for the analysis of string quartet movements. In Proceedings of 3rd international workshop on Machine learning and music (pp. 29–32). Firenze, Italy: ACM.
Stadler, K., Wellens, P., & De Beule, J.. (2012). The Combinatorial Naming Game. In B. De Baets, Manderick, B., Rademaker, M., & Waegeman, W., Proceedings of the 21st Belgian-Dutch Conference on Machine Learning (BeneLearn 2012). Ghent, Belgium.
PDF icon Stadler 2012 The Combinatorial Naming Game.pdf (1.36 MB)
Taminau, J., Hillewaere, R., Meganck, S., Conklin, D., Nowé, A., & Manderick, B.. (2009). Descriptive Mining of Folk Music: A testcase. In Proceedings of the 21st Benelux Conference on Artificial Intelligence (BNAIC 2009).
Van Remortel, P., Ceuppens, J., Defaweux, A., Lenaerts, T., & Manderick, B.. (2003). Developmental effects on tuneable fitness landscapes. In Proceedings of the 5th international conference on Evolvable systems: from biology to hardware (pp. 117–128). Springer-Verlag.
Meganck, S., Maes, S., Manderick, B., & Leray, P.. (2005). Distributed learning of multi-agent causal models. In Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (pp. 285–288). IEEE.
Catteeuw, D., Manderick, B., & Han, T. A.. (2013). Evolutionary Stability of Honest Signaling in Finite Populations. In Proceedings of the IEEE Congress on Evolutionary Computation. Cancun, Mexico: IEEE Computer Society.
Van Remortel, P., Lenaerts, T., & Manderick, B.. (1999). The evolution of ROBDDs: preliminary results and a first analysis. In Evolvable Hardware, 1999. Proceedings of the First NASA/DoD Workshop on (pp. 249–254). IEEE.
Higuchi, T., Iwata, M., Kajitani, I., Yamada, H., Manderick, B., Hirao, Y., et al.. (1996). Evolvable hardware with genetic learning. In Circuits and Systems, 1996. ISCAS'96.,'Connecting the World'., 1996 IEEE International Symposium on (Vol. 4, pp. 29–32). IEEE.
Manderick, B., & Spiessens, P.. (1989). Fine-grained parallel genetic algorithms. In Proceedings of the third international conference on Genetic algorithms (pp. 428–433). Morgan Kaufmann Publishers Inc.
Van Remortel, P., Manderick, B., & Lenaerts, T.. (2004). Gene interaction and modularisation in a model for gene-regulated development. In Evolvable Hardware, 2004. Proceedings. 2004 NASA/DoD Conference on (pp. 253–260). IEEE.
Catteeuw, D., & Manderick, B.. (2012). Honest Signaling: Learning Dynamics versus Evolutionary Stability. In B. De Baets, Manderick, B., Rademaker, M., & Waegeman, W., Proceedings of the 21st Belgian-Dutch Conference on Machine Learning. Ghent, Belgium.
Catteeuw, D., & Manderick, B.. (2012). Honest Signaling: Learning Dynamics versus Evolutionary Stability. In B. De Baets, Manderick, B., Rademaker, M., & Waegeman, W., Proceedings of the 21st Belgian-Dutch Conference on Machine Learning. Ghent, Belgium.
Maes, S., Reumers, J., & Manderick, B.. (2003). Identifiability of causal effects in a multi-agent causal model. In Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on (pp. 605–608). IEEE.
Catteeuw, D., & Manderick, B.. (2011). Learning in Minority Games with Multiple Resources. In G. Kampis, Karsai, I., & Szathmáry, E., Advances in Artificial Life, revised selected papers of the European Conference on Artificial Life, LNAI 5778 (pp. 326–333). Budapest, Hungary: Springer.
Catteeuw, D., & Manderick, B.. (2009). Learning in the time-dependent minority game. In Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers (pp. 2011–2016). ACM.
Catteeuw, D., & Manderick, B.. (2013). The Limits of Reinforcement Learning in Lewis Signaling Games. In S. Devlin, Hennes, D., & Howly, E., Proceedings of the 13th Adaptive and Learning Agents workshop. Saint Paul, MN, USA.
PDF icon ala2013.pdf (564.63 KB)
Liu, F., Vanschoenwinkel, B., Chen, Y. F., & Manderick, B.. (2006). A Modified Value Difference Metric Kernel for Context-Dependent Classification Tasks. In Machine Learning and Cybernetics, 2006 International Conference on (pp. 3432–3437). Ieee.
Van Remortel, P., Lenaerts, T., & Manderick, B.. (2002). The robustness of small developed SBlock circuits using different clocking schemes. In Evolvable Hardware, 2002. Proceedings. NASA/DoD Conference on (pp. 26–35). IEEE.
Catteeuw, D., De Beule, J., & Manderick, B.. (2011). Roth-Erev Learning in Signaling and Language Games. In P. De Causmaecker, Maervoet, J., Messelis, T., Verbeeck, K., & Vermeulen, T., Proceedings of the 23rd Benelux Conference on Artificial Intelligence (pp. 65–74). Ghent, Belgium.
PDF icon bnaic2011_submission_62.pdf (865.81 KB)
Vanschoenwinkel, B., Liu, F., & Manderick, B.. (2005). Weighted kernel functions for SVM learning in string domains: a distance function viewpoint. In Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on (Vol. 7, pp. 4226–4232). IEEE.
Conference Proceedings
Hillewaere, R., Manderick, B., & Conklin, D.. (In Press). Alignment methods for folk tune classification. Post-proceedings of The 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery. Hildesheim, Germany.
Hillewaere, R., Manderick, B., & Conklin, D.. (2009). Global feature versus event models for folk song classification. ISMIR 2009: 10th International Society for Music Information Retrieval Conference. Kobe, Japan.

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