Operator-valued Kernels
Operator-Valued Kernels is a kernel function that maps pairs of input points into a space of linear operators acting on a Hilbert space, generalizing scalar-valued kernels by enabling the output to be operator-valued in order to model vector-valued functions or structured outputs in reproducing kernel Hilbert spaces of operator-valued functions.
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2017–2026
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On Learning Vector-Valued Functions
Charles A. Micchelli, Massimiliano Pontil · Neural Computation · 2004 · 493 citations
Vasily E. Tarasov · Mathematics · 2021 · 70 citations · Full text
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Informatique, BioInformatique, Systèmes Complexes, France
3 publications · 114 citations
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Courant Institute of Mathematical Sciences, United States
2 publications · 32 citations
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Centre National de la Recherche Scientifique
Paris, France
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7 publications
230 citations
University of Vienna
Vienna, Austria
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1 publications
35 citations

Technische Universität Darmstadt
Darmstadt, Germany
2 h-index
2 publications
95 citations
Universidad de Zaragoza
Zaragoza, Spain
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2 publications
298 citations
Université de Lille
Lille, France
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4 publications
166 citations
Laboratoire de Mathématiques d'Orsay
Orsay, France
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2 publications
45 citations
Informatique, BioInformatique, Systèmes Complexes
Évry-Courcouronnes, France
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6 publications
206 citations
University of California, Irvine
Irvine, United States
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2 publications
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Repository · 4 publications · 105 citations
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