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  2. Help:Conditional tables - Wikipedia

    en.wikipedia.org/wiki/Help:Conditional_tables

    ParserFunctions allow for the conditional display of table rows, columns or cells (and really, just about anything else). But Parser functions have some limits. But Parser functions have some limits. Basic use

  3. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    doc2vec, generates distributed representations of variable-length pieces of texts, such as sentences, paragraphs, or entire documents. [ 14 ] [ 15 ] doc2vec has been implemented in the C , Python and Java / Scala tools (see below), with the Java and Python versions also supporting inference of document embeddings on new, unseen documents.

  4. Block code - Wikipedia

    en.wikipedia.org/wiki/Block_code

    The block length of a block code is the number of symbols in a block. Hence, the elements c {\displaystyle c} of Σ n {\displaystyle \Sigma ^{n}} are strings of length n {\displaystyle n} and correspond to blocks that may be received by the receiver.

  5. Pearson correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Pearson_correlation...

    The Pandas and Polars Python libraries implement the Pearson correlation coefficient calculation as the default option for the methods pandas.DataFrame.corr and polars.corr, respectively. Wolfram Mathematica via the Correlation function, or (with the P value) with CorrelationTest. The Boost C++ library via the correlation_coefficient function.

  6. Pivot table - Wikipedia

    en.wikipedia.org/wiki/Pivot_table

    The fields that would be created will be visible on the right hand side of the worksheet. By default, the pivot table layout design will appear below this list. Pivot Table fields are the building blocks of pivot tables. Each of the fields from the list can be dragged on to this layout, which has four options: Filters; Columns; Rows; Values

  7. Markov random field - Wikipedia

    en.wikipedia.org/wiki/Markov_random_field

    One notable variant of a Markov random field is a conditional random field, in which each random variable may also be conditioned upon a set of global observations . In this model, each function φ k {\displaystyle \varphi _{k}} is a mapping from all assignments to both the clique k and the observations o {\displaystyle o} to the nonnegative ...

  8. Non-negative matrix factorization - Wikipedia

    en.wikipedia.org/wiki/Non-negative_matrix...

    By first proving that the missing data are ignored in the cost function, then proving that the impact from missing data can be as small as a second order effect, Ren et al. (2020) [5] studied and applied such an approach for the field of astronomy. Their work focuses on two-dimensional matrices, specifically, it includes mathematical derivation ...

  9. Function of several real variables - Wikipedia

    en.wikipedia.org/wiki/Function_of_several_real...

    The image of a function f(x 1, x 2, …, x n) is the set of all values of f when the n-tuple (x 1, x 2, …, x n) runs in the whole domain of f.For a continuous (see below for a definition) real-valued function which has a connected domain, the image is either an interval or a single value.