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  2. Tensor (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Tensor_(machine_learning)

    In machine learning, the term tensor informally refers to two different concepts (i) a way of organizing data and (ii) a multilinear (tensor) transformation. Data may be organized in a multidimensional array (M-way array), informally referred to as a "data tensor"; however, in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector ...

  3. Tensor - Wikipedia

    en.wikipedia.org/wiki/Tensor

    The collection of tensors on a vector space and its dual forms a tensor algebra, which allows products of arbitrary tensors. Simple applications of tensors of order 2 , which can be represented as a square matrix, can be solved by clever arrangement of transposed vectors and by applying the rules of matrix multiplication, but the tensor product ...

  4. Tensor contraction - Wikipedia

    en.wikipedia.org/wiki/Tensor_contraction

    In multilinear algebra, a tensor contraction is an operation on a tensor that arises from the canonical pairing of a vector space and its dual.In components, it is expressed as a sum of products of scalar components of the tensor(s) caused by applying the summation convention to a pair of dummy indices that are bound to each other in an expression.

  5. Multilinear algebra - Wikipedia

    en.wikipedia.org/wiki/Multilinear_algebra

    Multilinear algebra is the study of functions with multiple vector-valued arguments, with the functions being linear maps with respect to each argument. It involves concepts such as matrices, tensors, multivectors, systems of linear equations, higher-dimensional spaces, determinants, inner and outer products, and dual spaces.

  6. Multilinear principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Multilinear_principal...

    Multilinear principal component analysis (MPCA) is a multilinear extension of principal component analysis (PCA) that is used to analyze M-way arrays, also informally referred to as "data tensors". M-way arrays may be modeled by linear tensor models, such as CANDECOMP/Parafac, or by multilinear tensor models, such as multilinear principal ...

  7. Lorne Michaels Said ‘SNL’ Is ‘Nonpartisan’ and ‘You Can’t Be ...

    www.aol.com/lorne-michaels-said-snl-nonpartisan...

    Samantha Bee is clapping back at “Saturday Night Live” boss Lorne Michaels, who makes a diss at her in his upcoming memoir “Lorne: The Man Who Invented Saturday Night Live.” The former ...

  8. Today's Wordle Hint, Answer for #1336 on Friday, February 14 ...

    www.aol.com/todays-wordle-hint-answer-1336...

    Hints and the solution for today's Wordle on Friday, February 14.

  9. Voigt notation - Wikipedia

    en.wikipedia.org/wiki/Voigt_notation

    In mathematics, Voigt notation or Voigt form in multilinear algebra is a way to represent a symmetric tensor by reducing its order. [1] There are a few variants and associated names for this idea: Mandel notation, Mandel–Voigt notation and Nye notation are others found.