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A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network., and . Neural Processing Letters, 4 (3): 167-172 (1996)Training Reinforcement Neurocontrollers Using the Polytope Algorithm., and . Neural Processing Letters, 9 (2): 119-127 (1999)Document clustering using synthetic cluster prototypes., and . Data Knowl. Eng., 70 (3): 284-306 (2011)Incremental Relevance Vector Machine with Kernel Learning., , and . SETN, volume 5138 of Lecture Notes in Computer Science, page 301-312. Springer, (2008)The mixtures of Student's t-distributions as a robust framework for rigid registration., , and . Image Vis. Comput., 27 (9): 1285-1294 (2009)Modeling sets of unordered points using highly eccentric ellipses., , and . EURASIP J. Adv. Signal Process., (2014)A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures., , and . IEEE Trans. Image Processing, 19 (9): 2278-2289 (2010)A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation., , and . IEEE Trans. Image Processing, 16 (4): 1121-1130 (2007)Probabilistic Models Based on the Pi-Sigmoid Distribution., and . ANNPR, volume 5064 of Lecture Notes in Computer Science, page 36-43. Springer, (2008)Improving Text Stream Clustering using Term Burstiness and Co-burstiness., , and . SETN, page 16:1-16:9. ACM, (2016)