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  2. Bootstrapping - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping

    A bootstrapping node, also known as a rendezvous host, is a node in an overlay network that provides initial configuration information to newly joining nodes so that they may successfully join the overlay network.

  3. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    Basic bootstrap, also known as the Reverse Percentile Interval. The basic bootstrap is a simple scheme to construct the confidence interval: one simply takes the empirical quantiles from the bootstrap distribution of the parameter (see Davison and Hinkley 1997, equ. 5.6 p. 194):

  4. Temporal paradox - Wikipedia

    en.wikipedia.org/wiki/Temporal_paradox

    A boot-strap paradox, also known as an information loop, an information paradox, an ontological paradox, or a "predestination paradox" is a paradox of time travel that occurs when any event, such as an action, information, an object, or a person, ultimately causes itself, as a consequence of either retrocausality or time travel.

  5. Maximum parsimony (phylogenetics) - Wikipedia

    en.wikipedia.org/wiki/Maximum_parsimony_(phylo...

    Jackknifing and bootstrapping, well-known statistical resampling procedures, have been employed with parsimony analysis. The jackknife, which involves resampling without replacement ("leave-one-out") can be employed on characters or taxa; interpretation may become complicated in the latter case, because the variable of interest is the tree, and ...

  6. Resampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Resampling_(statistics)

    Resampling (statistics) In statistics, resampling is the creation of new samples based on one observed sample. Resampling methods are: Permutation tests (also re-randomization tests) Bootstrapping. Cross validation. Jackknife.

  7. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    v. t. e. Bootstrap aggregating, also called bagging (from b ootstrap agg regat ing ), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting.

  8. Prosodic bootstrapping - Wikipedia

    en.wikipedia.org/wiki/Prosodic_bootstrapping

    Prosodic bootstrapping (also known as phonological bootstrapping) in linguistics refers to the hypothesis that learners of a primary language (L1) use prosodic features such as pitch, tempo, rhythm, amplitude, and other auditory aspects from the speech signal as a cue to identify other properties of grammar, such as syntactic structure.

  9. Bootstrapping (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(linguistics)

    Bootstrapping is a term used in language acquisition in the field of linguistics. It refers to the idea that humans are born innately equipped with a mental faculty that forms the basis of language. It is this language faculty that allows children to effortlessly acquire language. [1] As a process, bootstrapping can be divided into different ...