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Neural and statistical classifiers-taxonomy and two case studies.

, , , и . IEEE Trans. Neural Networks, 8 (1): 5-17 (1997)

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Kira Margareta Holmström

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Lasse Nielsen

 

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Kernel Regression and Backpropagation Training with Noise, и . Advances in Neural Information Processing Systems 4, San Francisco, CA: Morgan Kaufmann, (1992)Piecewise quadric blending of implicitly defined surfaces.. Comput. Aided Geom. Des., 4 (3): 171-189 (1987)Complexity Reduction in Probabilistic Neural Networks., и . ICANN, том 1112 из Lecture Notes in Computer Science, стр. 65-70. Springer, (1996)Neural network and statistical perspectives of classification., , , и . ICPR, стр. 286-290. IEEE Computer Society, (1996)Application of Semiparametric Density Estimation to Classification., и . ICPR (3), стр. 371-374. IEEE Computer Society, (2004)Scale space multiresolution correlation analysis for time series data, и . Computational Statistics, 32 (1): 197--218 (01.03.2017)Scale space multiresolution correlation analysis for time series data., и . Comput. Stat., 32 (1): 197-218 (2017)Bayesian scale space analysis of images., и . ISPA, стр. 96-100. IEEE, (2013)Level Set Trees with Enhanced Marginal Density Visualization., , и . IVAPP, стр. 210-217. SciTePress, (2014)Kernel Regression and Backpropagation Training With Noise., и . NIPS, стр. 1033-1039. Morgan Kaufmann, (1991)