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Disambiguation of "Ridella, Sandro"

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Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory.

, , , , and . IJCNN, page 1-8. IEEE, (2010)

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Sandro Valle

(_1hn1_1hn2_1hn3I)-ADAM und (_1hn9_1hn9_1hnmTc)-TRODAT-1: szintigraphische In-vivo-Darstellung der serotonergen und dopaminergen Transportersysteme anhand von Micro-SPECT im ZNS von Ratten. Uni München, (2009)

Sandro Limbach

Sandro Casagrande

Sandro Wefel

Sandro Lang

 

Other publications of authors with the same name

Do we really need a new theory to understand over-parameterization?, , and . Neurocomputing, (July 2023)Possibility and Necessity Pattern Classification using an Interval Arithmetic Perceptron., and . Neural Comput. Appl., 8 (1): 40-52 (1999)Support Vector Machines: A Comparison of Some Kernel Functions., , and . IIA/SOCO, ICSC Academic Press, Rochester, NY, USA, (1999)Learning with few bits on small-scale devices: From regularization to energy efficiency., , , and . ESANN, (2014)Pruning and rule extraction using class entropy., , , and . ICNN, page 250-256. IEEE, (1993)Support vector machines and strictly positive definite kernel: The regularization hyperparameter is more important than the kernel hyperparameters., , , and . IJCNN, page 1-4. IEEE, (2015)Digital implementation of hierarchical vector quantization., , and . IEEE Trans. Neural Networks, 14 (5): 1072-1084 (2003)Statistically controlled activation weight initialization (SCAWI)., and . IEEE Trans. Neural Networks, 3 (4): 627-631 (1992)K-winner machines for pattern classification., , and . IEEE Trans. Neural Networks, 12 (2): 371-385 (2001)Learning Resource-Aware Classifiers for Mobile Devices: From Regularization to Energy Efficiency., , , and . Neurocomputing, (2015)