Search Results for author: Jan Vybíral

Found 2 papers, 0 papers with code

Robust and Resource Efficient Identification of Shallow Neural Networks by Fewest Samples

no code implementations4 Apr 2018 Massimo Fornasier, Jan Vybíral, Ingrid Daubechies

In the case of the shallowest feed-forward neural network, second order differentiation and tensors of order two (i. e., matrices) suffice as we prove in this paper.

Non-asymptotic Analysis of $\ell_1$-norm Support Vector Machines

no code implementations27 Sep 2015 Anton Kolleck, Jan Vybíral

Support Vector Machines (SVM) with $\ell_1$ penalty became a standard tool in analysis of highdimensional classification problems with sparsity constraints in many applications including bioinformatics and signal processing.

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