enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Physical configuration audit - Wikipedia

    en.wikipedia.org/wiki/Physical_Configuration_Audit

    In computer engineering, a physical configuration audit (PCA) is the formal examination of the "as-built" configuration of a configuration item (CI) against its technical documentation to establish or verify the CI's product baseline. The PCA is used to examine the actual configuration of the CI that is representative of the product ...

  3. Robust principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Robust_principal_component...

    The 2014 guaranteed algorithm for the robust PCA problem (with the input matrix being = +) is an alternating minimization type algorithm. [12] The computational complexity is (⁡) where the input is the superposition of a low-rank (of rank ) and a sparse matrix of dimension and is the desired accuracy of the recovered solution, i.e., ‖ ^ ‖ where is the true low-rank component and ^ is the ...

  4. Principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Principal_component_analysis

    Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.

  5. 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 ...

  6. Principal component regression - Wikipedia

    en.wikipedia.org/wiki/Principal_component_regression

    In statistics, principal component regression (PCR) is a regression analysis technique that is based on principal component analysis (PCA). PCR is a form of reduced rank regression. [1] More specifically, PCR is used for estimating the unknown regression coefficients in a standard linear regression model.

  7. Cowboys owner Jerry Jones lobbies for NFL Christmas Day games ...

    www.aol.com/cowboys-owner-jerry-jones-lobbies...

    The Pittsburgh Steelers host the reigning back-to-back champion Kansas City Chiefs in the first of the two holiday games. The Baltimore Ravens and Houston Texans also go head-to-head in the ...

  8. Why Experts Say This Underrated Supplement Is Key To Building ...

    www.aol.com/why-experts-underrated-supplement...

    "Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." There are about as many performance supplements on the market as there are protein-packed foods in a ...

  9. Certificate policy - Wikipedia

    en.wikipedia.org/wiki/Certificate_policy

    When a certificate is issued, it can be stated in its attributes what use cases it is intended to fulfill. For example, a certificate can be issued for digital signature of e-mail (aka S/MIME), encryption of data, authentication (e.g. of a Web server, as when one uses HTTPS) or further issuance of certificates (delegation of authority ...