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Bio-Kernel Machines and...
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Statistical Inference Based...
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Kernel Determination Problems...
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The Christoffel-Darboux...
Jean Bernard Lasserre,
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Matrix Analysis and Entrywise...
Apoorva Khare
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Mastering KVM Virtualization:...
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Multivariate Kernel Smoothing...
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Integral Transforms,...
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Transformations,...
H Begehr
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Kernelization: Theory of...
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Learning with Kernels:...
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Multivariate Kernel Smoothing...
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Geometric Analysis of the...
Professor Steven G Krantz
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Kernel Learning Algorithms...
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An Introduction to the Theory...
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Data Variant Kernel Analysis
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Kernel Learning Algorithms...
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Geometric Analysis of the...
Professor Steven G Krantz
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Reproducing Kernel Hilbert...
Alain Berlinet,
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Theory of Bergman Spaces
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Reproducing Kernels and their...
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Kernel Adaptive Filtering
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