Results 231 to 240 of about 1,040,227 (270)
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2010
In many modern applications involving large data sets, statisticians are confronted with a large m×n matrix X = (x ij) that encodes n features on each of mobjects. For instance, in gene microarray studies x ij represents the expression level of the ith gene under the jth experimental condition [13].
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In many modern applications involving large data sets, statisticians are confronted with a large m×n matrix X = (x ij) that encodes n features on each of mobjects. For instance, in gene microarray studies x ij represents the expression level of the ith gene under the jth experimental condition [13].
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1993
In this chapter we discuss reduction of matrices to the canonical form by use of orthogonal transformations in the spaces of images and preimages. Such canonical form is called the singular value decomposition. In what follows we will use the well-known polar decomposition, which is recalled in Section 1 in course of discussion of singular value ...
S. K. Godunov +3 more
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In this chapter we discuss reduction of matrices to the canonical form by use of orthogonal transformations in the spaces of images and preimages. Such canonical form is called the singular value decomposition. In what follows we will use the well-known polar decomposition, which is recalled in Section 1 in course of discussion of singular value ...
S. K. Godunov +3 more
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2002
3.1 Matrix Young Inequalities 3.2 Singular Values of Hadamard Products 3.3 Differences of Positive Semidefinite Matrices 3.4 Matrix Cartesian Decompositions 3.5 Singular Values and Matrix ...
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3.1 Matrix Young Inequalities 3.2 Singular Values of Hadamard Products 3.3 Differences of Positive Semidefinite Matrices 3.4 Matrix Cartesian Decompositions 3.5 Singular Values and Matrix ...
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Clinical relevance of tumour-associated macrophages
Nature Reviews Clinical Oncology, 2022Mikael J Pittet, Denis Migliorini
exaly