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gptkbp:instanceOf
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gptkb:group_of_people
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gptkbp:appearsIn
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gptkb:Hilbert_space_theory
gptkb:reproducing_kernel_Hilbert_space
support vector machines
feature space
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gptkbp:defines
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matrix of all possible inner products of a set of vectors
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gptkbp:determinant
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zero if and only if vectors are linearly dependent
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gptkbp:dimensions
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n x n for n vectors
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gptkbp:entriesAre
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inner products
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gptkbp:field
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complex numbers
real numbers
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gptkbp:generalizes
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dot product
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gptkbp:heldBy
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symmetric
positive semi-definite
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gptkbp:namedAfter
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gptkb:Jørgen_Pedersen_Gram
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gptkbp:property
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rank equals the dimension of the span of the vectors
eigenvalues are non-negative
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gptkbp:relatedTo
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covariance matrix
kernel matrix
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gptkbp:usedFor
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gptkb:principal_component_analysis
gptkb:kernel_methods
computing volumes
determining linear independence
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gptkbp:usedIn
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gptkb:machine_learning
statistics
linear algebra
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gptkbp:bfsParent
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gptkb:Jørgen_Pedersen_Gram
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gptkbp:bfsLayer
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8
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https://www.w3.org/2000/01/rdf-schema#label
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Gram matrix
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