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Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators.

, , , , and . CEC, page 1-7. IEEE, (2020)

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Recurrent Neural Networks with Iterated Function Systems Dynamics., and . NC, page 526-532. ICSC Academic Press, International Computer Science Conventions, Canada / Switzerland, (1998)Extracting stochastic machines from recurrent neural networks trained on complex symbolic sequences., and . KES (2), page 551-558. IEEE, (1997)Predicting the Future of Discrete Sequences from Fractal Representations of the Past., and . Mach. Learn., 45 (2): 187-217 (2001)Recurrent Neural Networks with Small Weights Implement Definite Memory Machines., and . Neural Comput., 15 (8): 1897-1929 (2003)On Early Stages of Learning in Connectionist Models with Feedback Connections., and . AAAI Technical Report (3), FS-04-03, page 69-71. AAAI Press, (2004)Predictive Ensemble Pruning by Expectation Propagation., , and . IEEE Trans. Knowl. Data Eng., 21 (7): 999-1013 (2009)Artificial Neural Network Models., , and . Handbook of Computational Intelligence, Springer, (2015)Scaling Up Estimation of Distribution Algorithms for Continuous Optimization., , , and . IEEE Trans. Evol. Comput., 17 (6): 797-822 (2013)Searching for Coexpressed Genes in Three-Color cDNA Microarray Data Using a Probabilistic Model-Based Hough Transform., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 8 (4): 1093-1107 (2011)A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System., , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (1): 15:1-15:38 (2020)