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Author [ Title] Type Year Filters: Author is Georgios C. Anagnostopoulos [Clear All Filters]
Accelerated learning of Generalized Sammon Mappings. Neural Networks (IJCNN), The 2011 International Joint Conference on.
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2011. An Adaptive Multiobjective Approach to Evolving ART Architectures. Neural Networks, IEEE Transactions on. 21:529-550.
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2010. Conic Multi-task Classification. Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II.
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2014. Derivative free optimization using a population-based stochastic gradient estimator.. Genetic and Evolutionary Computation Conference, (GECCO '14), Vancouver, BC, Canada, July 12-16, 2014.
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2014. Efficient Revised Simplex Method for SVM Training. Neural Networks, IEEE Transactions on. 22:1650-1661.
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2011. Hash Function Learning via Codewords. Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2015. 9284:659-674.
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2015. Kernel principal subspace Mahalanobis distances for outlier detection. Neural Networks (IJCNN), The 2011 International Joint Conference on.
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2011. Kernel-based Distance Metric Learning in the Output Space. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN).
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2013. Metric representations of data via the Kernel-based Sammon Mapping. Neural Networks (IJCNN), The 2010 International Joint Conference on.
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2010. Multinomial Squared Direction Cosines Regression. Neural Networks (IJCNN), The 2011 International Joint Conference on.
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2011. Multi-objective memetic evolution of ART-based classifiers. Evolutionary Computation (CEC), 2010 IEEE Congress on.
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2010. Multi-Objective Model Selection via Racing. Cybernetics, IEEE Transactions on. PP:1-1.
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2015. Multitask Classification Hypothesis Space With Improved Generalization Bounds. Neural Networks and Learning Systems, IEEE Transactions on. 26(7):1468-1479.
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2015. Multi-Task Learning with Group-Specific Feature Space Sharing. Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2015. 9285:120-136.
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2015. Online model racing based on extreme performance.. Genetic and Evolutionary Computation Conference, (GECCO '14), Vancouver, BC, Canada, July 12-16, 2014.
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2014. Pareto-Path Multitask Multiple Kernel Learning. Neural Networks and Learning Systems, IEEE Transactions on. 26(1):51-61.
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2015. Reduced-Rank Local Distance Metric Learning. Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2013.
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2013. SPRINT Multi-Objective Model Racing. Proceedings of the 2015 on Genetic and Evolutionary Computation Conference (GECCO '15) .
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2015. S-Race: A Multi-Objective Racing Algorithm. Genetic & Evolutionary Computation Conference (GECCO).
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2013. A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems. Neural Networks and Learning Systems, IEEE Transactions on. 25(7):1287-1297.
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