Titlebook: Artificial Neural Networks in Pattern Recognition; 7th IAPR TC3 Worksho Friedhelm Schwenker,Hazem M. Abbas,Edmondo Trentin Conference proce

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,Die Gyn?kologie des Truppenarztes,ty of the problem to face, linear dynamical systems may directly contribute to provide a good solution at a reduced computational cost, or indirectly provide support at a pre-training stage for nonlinear models. We present and discuss several approaches, both linear and nonlinear, where linear dynam

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https://doi.org/10.1007/978-3-662-34565-8e usually inferior to support vector machines (SVMs). To improve the generalization abilities of MAMCs, in this paper, we propose optimizing slopes and bias terms of separating hyperplanes after the coefficient vectors of the hyperplanes are obtained. The bias term is optimized so that the number of

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