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Глоссарии и словари бюро переводов Фларус

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Multivalent

Глоссарий технических терминов
    A logic or system that can take on multiple values. the values may be discrete, such as lukasiewicz`s trivalent logic [0, 1/2, 1], or continuous, such as probabilities or fuzzy membership scores, both of which are defined over the range 0-1. typically, a value of zero implies absolute falsehood or impossibility while a value of one (1) implies absolute truth or necessity. mutlivalent logics allow one to capture degrees of certainty, and support non-monotone logics. see also: fuzzy logic, non-monotone logic, probability. multivariate adaptive regression spline (mars) mars is an acronym for multivariate adaptive regression spline, a statistical technique for adaptively estimating a multi-attribute function. like cart and other techniques, this method recursively fits a function to the data. it adaptively adjusts for regions with poor fits by adding spline functions to the model for that region. see also: classification and regression trees, recursive partitioning, spline.


Мультивалентный, русский



Lukasiewicz, английский

Continuous, английский
  1. Непрерывный

  2. Непрерывный; длительный; продолжающийся

  3. A продолженный, дли- тельный, непрерванный form, future, past, present contoid n контоид

  4. Непрерывный, неразрывный, сплошной, неразрезной (об элементах конструкции)


Membership, английский
  1. A relationship of being a member of an organization, such as a gym or club.

  2. In asp.net, an application feature that manages a store of user credentials for a web site. membership can be integrated with login controls or other asp.net authentication features to provide login security for your site.


Impossibility, английский

Probability, английский
  1. Probability can be generally defined as a measure of how likely some event will occur. the event could be an explosion, a lottery win or perhaps cancer induction. mathematically speaking, the value of probability varies between 0 and 1 where 0 means an ev

  2. Вероятность. возможность.

  3. The probability of an event is a number between zero and 100%. the meaning (interpretation) of probability is the subject of theories of probability, which differ in their interpretations. however, any rule for assigning probabilities to events has to satisfy the axioms of probability.

  4. Вероятность

  5. Вероятность probability sample, syn. random sample

  6. Вероятность. мера случайности появления конкретного события. например, вероятность случайного выбора из популяции человека с конкретным качеством соответствует доле людей в популяции, обладающих этим качеством.

  7. Вероятность; возможность

  8. Вероятность; обеспеченность (гидрологической величины) ~ of no-failure вероятность безотказной работы

  9. Probability is a method for representing uncertainty about propositions or events. it represents the uncertainty about a proposition on a scale from 0 to 1, with a 0 representing complete certainty that the proposition is false or an event will not occur and a value of one will represent the opposite. formally, a probability measure is one that follows kolmogorov`s axioms. there are two main schools of thought on the meaning of probability. frequentists take a narrow interpretation of probability allowing only hypothetically repeatable events or experiments as being quantifiable by probability, while bayesians take a broader interpretation that allows reasoning about "one-shot" events and propositions based on the current knowledge about nature. the bayesian interpretation is most commonly used in artificial intelligence, while the frequentist interpretation is most commonly taught in statistics courses. the label "bayesian" arises from the central role that the bayes theorem plays in this use of probability. it allows one to reason from effects to causes and encourages the use of probability measures to describe supposedly fixed events or propositions which frequentists disallow. the probability for these events reflects one`s state of knowledge about the event, rather than being an assertion that the unknown event can vary. for example, a bayesian would have no qualms about making statements about the probability that a given die, rolled and hidden from his sight is, for example, a six. a frequentist would be unable to make such a statement, preferring to talk about his confidence in the method when applied to a hypothetically large number of repeated experiments. in the end, they would act in similar ways. when the long run data are available, bayesians and frequentists end up with the same estimates. see also: bayes theorem, kolmogorov`s axioms.

  10. Вероятность. математическое измерение возможности появления неко-его события, выраженное в виде дроби или процента [30]. значения статистической вероятности лежат в пределах от 1 или 100 процентов (всегда) до 0 или 0 процентов (никогда) [20]. наибольшее приближение к истинной вероятности дает относитель-ная частота события, полученная на основе большой серии измерений или результа-тов [33]. вероятность может быть также определена как выражение в некоторой неопределимой форме "степени уверенности" или как предельная частота события в бесконечной случайной последовательности [49].

  11. The likelihood of something happening. for example, sale being made.

  12. Вероятность. математическое измерение возможности появления некоего события, выраженное в виде дроби или процента [30]. значения статистической вероятности лежат в пределах от 1 или 100 процентов (всегда) до 0 или 0 процентов (никогда) [20]. наибольшее приближение к истинной вероятности дает относительная частота события, полученная на основе большой серии измерений или результатов [33]. вероятность может быть также определена как выражение в некоторой неопределимой форме "степени уверенности" или как предельная частота события в бесконечной случайной последовательности [49].

  13. The relative likelihood of a particular outcome among all possible outcomes.

  14. Likelihood that an event may occur, expressed as a number between 0 and 1.


Multivariate, английский
    Многомерный


Regression, английский
  1. Statistical technique used to evaluate relationships among variables (22).

  2. Регрессия

  3. 1. a stage where symptoms of a disease are disappearing and the person is getting better 2. (in psychiatry) the process of returning to a mental state which existed when the person was younger

  4. Regression commonly refers to the process of developing an empirical (data-driven) model to predict and/or explain one or more attributes in a database or set of data. it is most frequently associated with the simple linear model (y=mx+b) taught in most introductory statistics courses; the same ideas have been extended in many directions, including classification problems. when the emphasis is on hypothesis testing and simple models, the regression output is typically a few parameters that provide a direct linkage from the input variables to the predicted variables (or classification). in other situations the emphasis is on explaining as much of the variability in the output variables as is "reasonable" from the input variables. in this case, there are a number of "advanced" techniques, such as smoothing splines, decision trees, neural nets, and so forth, for which there are many "free" parameters. the meaning of any one of these parameters can be obscure. many data mining techniques are, at their core, variations on well-known regression techniques. see also: classification, clustering, decision trees, neural nets.

  5. The reappearance of a previously fixed problem.

  6. The statistical process of predicting one or more continuous variables, such as profit or loss, based on other attributes in the dataset.

  7. A mathematical technique used to explain and/or predict. the general form is y = a + bx + u, where y is the variable that we are trying to predict; x is the variable that we are using to predict y, a is the intercept; b is the slope, and u is the regression residual. the a and b are chosen in a way to minimize the squared sum of the residuals. the ability to fit or explain is measured by the r-square.

  8. A seaward retreat of a shoreline, generally expressed as a seaward


Statistical, английский

Estimating, английский
  1. The process of calculating the cost of a project. this can be a formal and exact process or a quick and imprecise process.

  2. Составление сметы


Classification, английский
  1. Assigning data (i e , cases or observations) cases to one of a fixed number of possible classes (represented by a nominal output variable)

  2. Классификация; систематизация; засекречивание

  3. Классификация (упорядоченная группировка явлений и объектов; может утверждаться в качестве стандарта, в том числе национального или международного), см. nomenclature

  4. The work of putting references or components into order so as to be able to refer to them again and identify them easily  the abo classification of blood

  5. Классификация

  6. N классификация language typological ~ типологическая классификация classificatory a классификационный matrix classifying a классифицирующий article

  7. The placement of an item under the correct number in the customs tariff for duty purposes. at times this procedure becomes highly complicated; it is not uncommon for importers to resort to litigation over the correct duty to be assessed by the customs on a given item

  8. Классификация; категоризация; сортировка

  9. The process of assigning a set of records from a database (observations in a dataset) into (usually) one of ``small" number of pre-specified disjoint categories. related techniques include regression, which predicts a range of values and clustering, which (typically) allows the categories to form themselves. the classification can be "fuzzy" in several senses of the word. in usual sense, the classification technique can allow a single record to belong to multiple (disjoint) categories with a probability (estimated) of being in each class. the categories can also overlap when they are developed either through a hierarchical model or through an agglomerative technique. finally, the classification can be fuzzy in the sense of using "fuzzy logic" techniques. see also: clustering, fuzzy logic, regression. classification and regression trees (cart) classification and regression trees (cart) is a particular form of decision tree used in data mining and statistics.

  10. Классификация. для порошков (пыли)—разделение образца на фракции по размеру, форме и плотности частиц с помощью жидкости; основано, например, на различной скорости оседания фракций в жидкости или на разном поведении частиц в потоке жидкости.

  11. A systematic organization of classes.

  12. The placement of an incident into a hierarchy of descriptors that indicate what the incident is generally about. for example, an incident could be classified as being related to software, and then to microsoft, and then to word 2003.

  13. The type of updates that sce downloads from microsoft update during synchronization.

  14. An offender is classified for a particular security level and housed in an appropriate facility based on assessment of their crime, security risk and prison behavior.

  15. A code which provides a method for categorizing the invention.

  16. The code for a specific type of complementary work or variation.

  17. Классификация, номенклатура


Partitioning, английский
  1. Расчленение

  2. Разделение; создание разделов; разбиение на разделы; выделение разделов; организация разделов; декомпозиция; секционирование

  3. The process of replacing a table with multiple smaller tables.


Мультиплет, русский

Мультивалентный, русский