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  2. Lookup table - Wikipedia

    en.wikipedia.org/wiki/Lookup_table

    In 493 AD, Victorius of Aquitaine wrote a 98-column multiplication table which gave (in Roman numerals) the product of every number from 2 to 50 times and the rows were "a list of numbers starting with one thousand, descending by hundreds to one hundred, then descending by tens to ten, then by ones to one, and then the fractions down to 1/144 ...

  3. Singleton pattern - Wikipedia

    en.wikipedia.org/wiki/Singleton_pattern

    The pattern is useful when exactly one object is needed to coordinate actions across a system. More specifically, the singleton pattern allows classes to: [2] Ensure they only have one instance; Provide easy access to that instance; Control their instantiation (for example, hiding the constructors of a class)

  4. Name–value pair - Wikipedia

    en.wikipedia.org/wiki/Namevalue_pair

    Example of a web form with name-value pairs. A namevalue pair, also called an attribute–value pair, key–value pair, or field–value pair, is a fundamental data representation in computing systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data.

  5. Multivalued function - Wikipedia

    en.wikipedia.org/wiki/Multivalued_function

    We can treat arctan as a single-valued function by restricting the domain of tan x to − π /2 < x < π /2 – a domain over which tan x is monotonically increasing. Thus, the range of arctan(x) becomes − π /2 < y < π /2. These values from a restricted domain are called principal values. The antiderivative can be considered as a ...

  6. Multiple instance learning - Wikipedia

    en.wikipedia.org/wiki/Multiple_Instance_Learning

    More precisely, in multiple-instance learning, the training set consists of labeled "bags", each of which is a collection of unlabeled instances. A bag is positively labeled if at least one instance in it is positive, and is negatively labeled if all instances in it are negative. The goal of the MIL is to predict the labels of new, unseen bags.

  7. Multiple comparisons problem - Wikipedia

    en.wikipedia.org/wiki/Multiple_comparisons_problem

    Although the 30 samples were all simulated under the null, one of the resulting p-values is small enough to produce a false rejection at the typical level 0.05 in the absence of correction. Multiple comparisons arise when a statistical analysis involves multiple simultaneous statistical tests, each of which has a potential to produce a "discovery".

  8. Imputation (statistics) - Wikipedia

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

    One approach is multiple imputation by chained equations (MICE), also known as "fully conditional specification" and "sequential regression multiple imputation." [ 15 ] MICE is designed for missing at random data, though there is simulation evidence to suggest that with a sufficient number of auxiliary variables it can also work on data that ...

  9. ISO 10303-21 - Wikipedia

    en.wikipedia.org/wiki/ISO_10303-21

    The instance name must consist of a positive number (>0) and is typically smaller than 2 63. The instance name is only valid locally within the STEP-file. If the same content is exported again from a system the instance names may be different for the same instances. The instance name is also used to reference other entity instances through ...