Publications

2014
Jan Drugowitsch, Rubén Moreno-Bote, and Alexandre Pouget. 2014. “Relationship between belief and performance in perceptual decision-making.” PLoS ONE, 9, 5. pdf
Jan Drugowitsch. 2014. Variational Bayesian inference for linear and logistic regression. arXiv:1310.5438 [stat.ML]. pdf
2013
Jan Kneissler, Patrick O Stalph, Jan Drugowitsch, and Martin V Butz. 2013. “Filtering sensory information with XCSF: improving learning robustness and control performance.” In Proceedings of the 15th international conference on genetic and evolutionary computation, Pp. 871-878. ACM Press. pdf
Jan Kneissler, Patrick O Stalph, Jan Drugowitsch, and Martin V Butz. 2013. “Filtering sensory information with XCSF: improving learning robustness and robot arm control performance.” Evolutionary Computation, 21, 4, Pp. 1-20. pdf
2012
Jan Drugowitsch, Rubén Moreno-Bote, Anne K Churchland, Michael N Shadlen, and Alexandre Pouget. 2012. “The cost of accumulating evidence in perceptual decision making.” The Journal of Neuroscience, 32, 11, Pp. 3612-3628. pdf
Jan Drugowitsch and Alexandre Pouget. 2012. “Probabilistic vs. non-probabilistic approaches to the neurobiology of perceptual decision-making.” Current Opinion in Neurobiology, 22, 6, Pp. 963-969. pdf
2010
Jan Drugowitsch and Alexandre Pouget. 2010. “Quick Thinking: Perceiving in a Tenth of a Blink of an Eye.” Nature Neuroscience, 13, Pp. 279-280. pdf
2008
Daniele Loiacono, Jan Drugowitsch, Alwyn M Barry, and Pier Luca Lanzi. 2008. “Analysis and improvement of the classifier error estimate in XCSF.” In Learning Classifier Systems: 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers, Lecture Notes in Computer Science, edited by Jaume Bacardit et al., 4998: Pp. 117-135. Springer. pdf
Jan Drugowitsch. 2008. Design and Analysis of Learning Classifier Systems: A Probabilistic Approach. Springer. pdf
Jan Drugowitsch and Alwyn M Barry. 2008. “A formal framework and extensions for function approximation in learning classifier systems.” Machine Learning, 70, 1, Pp. 45-88. pdf
Jan Drugowitsch and Alwyn M Barry. 2008. “A principled foundation for learning classifier systems.” In Learning Classifier Systems: 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers, Lecture Notes in Computer Science, edited by Jaume Bacardit et al., 4998: Pp. 77-95. Springer. pdf
2007
Jan Drugowitsch and Alwyn M Barry. 2007. Generalised mixtures of experts, independent expert training, and learning classifier systems. Technical Report CSBU-2007-02. Department of Computer Science, University of Bath. pdf
Jan Drugowitsch. 2007. “Learning classifier systems from first principles.” Department of Computer Science, University of Bath. pdf
Jan Drugowitsch and Alywn M Barry. 2007. “Mixing independent classifiers.” In Proceedings of the 9th annual conference on Genetic and evolutionary computation, Pp. 1596-1603. ACM Press. pdf
Jan Drugowitsch and Alwyn M Barry. 2007. “A principled foundation for learning classifier systems.” In Proceedings of the 2007 GECCO conference companion on genetic and evolutionary computation, Pp. 2675-2680. ACM Press. pdf
2006
Jan Drugowitsch and Alwyn M Barry. 2006. A formal framework and extensions for function approximation in learning classifier systems. Technical Report CSBU-2006-01. Department of Computer Science, University of Bath. pdf
Jan Drugowitsch and Alwyn M Barry. 2006. A formal framework for reinforcement learning with function approximation in learning classifier systems. Technical Report CSBU-2006-02. Department of Computer Science, University of Bath. pdf
Daniele Loiacono, Jan Drugowitsch, Alwyn M Barry, and Pier Luca Lanzi. 2006. “Improving classifier error estimate in XCSF.” In The Ninth International Workshop on Learning Classifier Systems, IWLCS-2006. pdf
Jan Drugowitsch and Alwyn M Barry. 2006. Mixing independent classifiers. Technical Report CSBU-2006-13. Department of Computer Science, University of Bath. pdf

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