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  2. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence. Word2vec was developed by Tomáš Mikolov and colleagues at Google and published in 2013.

  3. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB (an abbreviation of "MATrix LABoratory" [22]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.

  4. Well-known text representation of geometry - Wikipedia

    en.wikipedia.org/wiki/Well-known_text...

    Well-known text (WKT) is a text markup language for representing vector geometry objects. A binary equivalent, known as well-known binary ( WKB ), is used to transfer and store the same information in a more compact form convenient for computer processing but that is not human-readable.

  5. Low-density parity-check code - Wikipedia

    en.wikipedia.org/wiki/Low-density_parity-check_code

    In order to proceed with decoding the message, constraints connecting to only one of the erased bits must be identified. In this example, only the second constraint suffices. Examining the second constraint, the fourth bit must have been zero, since only a zero in that position would satisfy the constraint.

  6. Row and column vectors - Wikipedia

    en.wikipedia.org/wiki/Row_and_column_vectors

    In linear algebra, a column vector with ⁠ ⁠ elements is an matrix [1] consisting of a single column of ⁠ ⁠ entries, for example, = [].. Similarly, a row vector is a matrix for some ⁠ ⁠, consisting of a single row of ⁠ ⁠ entries, = […]. (Throughout this article, boldface is used for both row and column vectors.)

  7. Data mapping - Wikipedia

    en.wikipedia.org/wiki/Data_mapping

    In computing and data management, data mapping is the process of creating data element mappings between two distinct data models.Data mapping is used as a first step for a wide variety of data integration tasks, including: [1]

  8. Finite difference method - Wikipedia

    en.wikipedia.org/wiki/Finite_difference_method

    For example, consider the ordinary differential equation ′ = + The Euler method for solving this equation uses the finite difference quotient (+) ′ to approximate the differential equation by first substituting it for u'(x) then applying a little algebra (multiplying both sides by h, and then adding u(x) to both sides) to get (+) + (() +).

  9. NetCDF - Wikipedia

    en.wikipedia.org/wiki/NetCDF

    A number are listed below, and a longer list [10] is on the UCAR website. A commonly used set of Unix command line utilities for netCDF files is the NetCDF Operators (NCO) suite, which provide a range of commands for manipulation and analysis of netCDF files including basic record concatenating, array slicing and averaging.