When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Bitwise trie with bitmap - Wikipedia

    en.wikipedia.org/wiki/Bitwise_trie_with_bitmap

    To give an example that explains the difference between "classic" tries and bitwise tries: For numbers as keys, the alphabet for a trie could consist of the symbols '0' .. '9' to represent digits of a number in the decimal system and the nodes would have up to 10 possible children. A trie with the keys "07" and "42".

  3. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    In computer science, a trie (/ ˈ t r aɪ /, / ˈ t r iː /), also known as a digital tree or prefix tree, [1] is a specialized search tree data structure used to store and retrieve strings from a dictionary or set.

  4. X-fast trie - Wikipedia

    en.wikipedia.org/wiki/X-fast_trie

    An x-fast trie containing the integers 1 (001 2), 4 (100 2) and 5 (101 2). Blue edges indicate descendant pointers. An x-fast trie is a bitwise trie: a binary tree where each subtree stores values whose binary representations start with a common prefix. Each internal node is labeled with the common prefix of the values in its subtree and ...

  5. Statistical model - Wikipedia

    en.wikipedia.org/wiki/Statistical_model

    A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from a larger population). A statistical model represents, often in considerably idealized form, the data-generating process . [ 1 ]

  6. Identifiability analysis - Wikipedia

    en.wikipedia.org/wiki/Identifiability_analysis

    Identifiability – Statistical property which a model must satisfy to allow precise inference; Parameter identification problem – Parameter estimation technique in statistics, particularly econometrics; Regression analysis – Set of statistical processes for estimating the relationships among variables

  7. Bayesian information criterion - Wikipedia

    en.wikipedia.org/wiki/Bayesian_information_criterion

    ^ = the maximized value of the likelihood function of the model , i.e. ^ = (^,), where {^} are the parameter values that maximize the likelihood function and is the observed data; n {\\displaystyle n} = the number of data points in x {\\displaystyle x} , the number of observations , or equivalently, the sample size;

  8. Design of experiments - Wikipedia

    en.wikipedia.org/wiki/Design_of_experiments

    One of the most important requirements of experimental research designs is the necessity of eliminating the effects of spurious, intervening, and antecedent variables. In the most basic model, cause (X) leads to effect (Y). But there could be a third variable (Z) that influences (Y), and X might not be the true cause at all.

  9. Bit manipulation - Wikipedia

    en.wikipedia.org/wiki/Bit_manipulation

    A bitwise operation operates on one or more bit patterns or binary numerals at the level of their individual bits. It is a fast, primitive action directly supported by the central processing unit (CPU), and is used to manipulate values for comparisons and calculations.