Errata for Learning output kernels with block coordinate descent Differently from what claimed in Lemma 4.1 of [1], the update for L does not preserve symmetry. However, this doesn’t compromise the validity of Algorit - Lyapunov theory - Document - PDFSEARCH.IO

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	Errata for Learning output kernels with block coordinate descent Differently from what claimed in Lemma 4.1 of [1], the update for L does not preserve symmetry. However, this doesn’t compromise the validity of Algorit Add to Reading List Document Date: 2011-07-26 04:13:11 Open Document File Size: 137,58 KB Share Result on Facebook City New York / / Country United States / / IndustryTerm symmetric and positive semidefinite solution / / Person Marcel Dekker / / ProvinceOrState New York / / PublishedMedium Machine Learning / / Technology Machine Learning / / SocialTag Control theory Lyapunov equation Positive-definite matrix Positive semidefinite Matrix Mathematical optimization Linear algebra Eigenvalues and eigenvectors Algebra Mathematics

Errata for Learning output kernels with block coordinate descent Differently from what claimed in Lemma 4.1 of [1], the update for L does not preserve symmetry. However, this doesn’t compromise the validity of AlgoritAdd to Reading List