enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Bootstrapping (compilers) - Wikipedia

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

    Stage 1: the bootstrap compiler is produced. This compiler is enough to translate its own source into a program which can be executed on the target machine. At this point, all further development is done using the language defined by the bootstrap compiler, and stage 2 begins. Stage 2: a full compiler is produced by the bootstrap compiler.

  3. Bootstrapping - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping

    In general, bootstrapping usually refers to a self-starting process that is supposed to continue or grow without external input. Many analytical techniques are often called bootstrap methods in reference to their self-starting or self-supporting implementation, such as bootstrapping (statistics), bootstrapping (finance), or bootstrapping (linguistics).

  4. Bootstrapping (statistics) - Wikipedia

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

    The studentized bootstrap, also called bootstrap-t, is computed analogously to the standard confidence interval, but replaces the quantiles from the normal or student approximation by the quantiles from the bootstrap distribution of the Student's t-test (see Davison and Hinkley 1997, equ. 5.7 p. 194 and Efron and Tibshirani 1993 equ 12.22, p. 160):

  5. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    Bootstrap aggregating, also called bagging (from bootstrap aggregating) or bootstrapping, is a machine learning (ML) ensemble meta-algorithm designed to improve the stability and accuracy of ML classification and regression algorithms. It also reduces variance and overfitting.

  6. Bootstrapping node - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_node

    Several methods may be used by a joining node to identify bootstrapping nodes: A joining node may have been pre-configured with the static addresses of the bootstrapping nodes. [2] In such a case, the bootstrapping node addresses cannot change, and therefore should be fault-tolerant members of the network, which are not able to leave the network.

  7. Temporal difference learning - Wikipedia

    en.wikipedia.org/wiki/Temporal_difference_learning

    Temporal difference (TD) learning refers to a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate of the value function. These methods sample from the environment, like Monte Carlo methods , and perform updates based on current estimates, like dynamic programming methods.

  8. Self-hosting (compilers) - Wikipedia

    en.wikipedia.org/wiki/Self-hosting_(compilers)

    Since self-hosted compilers suffer from the same bootstrap problems as operating systems, a compiler for a new programming language needs to be written in an existing language. So the developer may use something like assembly language, C/C++, or even a scripting language like Python or Lua to build the first version of the compiler. Once the ...

  9. Booting - Wikipedia

    en.wikipedia.org/wiki/Booting

    Boot is short for bootstrap [1] [2] or bootstrap load and derives from the phrase to pull oneself up by one's bootstraps. [3] [4] The usage calls attention to the requirement that, if most software is loaded onto a computer by other software already running on the computer, some mechanism must exist to load the initial software onto the ...