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Robust Ensemble Learning

, , , , , и . Advances in Large Margin Classifiers, стр. 207-220. Cambridge, MA, MIT Press, (2000)

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-R Müller

-R Müller

Deusdedit R K Nkurunziza

Aman K K Bhasin

K Böhm

 

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l_1-penalized linear mixed-effects models for high-dimensional data with application to BCI, , , и . NeuroImage (to appear), (2011)Robust Ensemble Learning, , , , , и . Advances in Large Margin Classifiers, стр. 207-220. Cambridge, MA, MIT Press, (2000)Estimating A-Posteriori Probabilities using Stochastic Network Models, и . Proceedings of the 1993 Connectionist Models Summer School,Boulder, CO, Lawrence Erlbaum Associates, Hillsdale, NJ, (1994)A new discriminative kernel from probabilistic models, , , , и . Advances in Neural Information Processing Systems, 14, стр. 977--984. The MIT Press, (2002)(Proceedings of NIPS-01, December 3-8, 2001, Vancouver, British Columbia, Canada).Kernel Principal Component Analysis, , и . Advances in Kernel Methods---Support Vector Learning, стр. 327--352. (1999)Predicting Time Series with Support Vector Machines, , , , , и . Advances in Kernel Methods --- Support Vector Learning, стр. 243--254. Cambridge, MA, MIT Press, (1999)Short version appeared in ICANN'97, Springer Lecture Notes in Computer Science.A Numerical Study on Learning Curves in Stochastic Multi--Layer Feed--Forward Networks, , , , и . Neural Computation, (1995)An Introduction to Kernel-Based learning Algorithms, , , , и . IEEE Transactions on Neural Networks, 12 (2): 181--202 (2001)Linear and Nonlinear Regression Techniques for Simultaneous and Proportional Myoelectric Control, , , , , , , и . IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22 (2): 269-279 (марта 2014)An introduction to kernel-based learning algorithms, , , , и . Neural Networks, IEEE Transactions on, 12 (2): 181 -201 (марта 2001)