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Conditional independence

Глоссарий по искусственному интеллекту
    Conditional independence is a fundamental notion in probability models and in the construction of a belief network and a bayesian network. two attributes or groups of attributes are said to be conditionally independent with respect to a third group when the two attributes are unrelated or independent for fixed values of the third. when the third attribute is ``free" or unmeasured, the two attributes can appear to be dependent.




Conditional, английский
  1. Условный

  2. A условный | n 1 усло- вие2; 2 грм. а) условное наклонение (син. ~ mood), б) условная связь (син. ~ conjunction); 3 лог. условное высказывание mood, sentence

  3. In probabilistic expert systems, a collection of conditional distributions for the same group of variables (referred to as the head) over all of the states of a conditioning set of variables (referred to as the tail). the conditional distribution of height and weight for various mutually exclusive groupings of age and sex would be a conditional, with height and weight as the head variables and age and sex the tail variables. see also: slice.

  4. A control structure such as an if-statement or case-statement that conditionally executes a block of code


Conditional (adj), английский
    Of, pertaining to, or characteristic of an action or operation that takes place based on whether or not a certain condition is true.


Conditional (parameter), английский

Conditional addition, английский
    Условное сложение


Conditional assembly, английский
    Условная компоновка программы; условное ассемблирование conditional assembly expressionвыражение условного ассемблирования


Conditional assembly instruction, английский
    Команда условного ассемблирования


Conditional association, английский
    Условная ассоциация


Conditional behavior, английский
    Обусловленное поведение


Conditional block, английский
    Условный блок


Conditional branch, английский
  1. Условное ветвление; условный переход

  2. An element of workflow logic that defines an alternative condition and action or additional steps, in cases when the criteria in a condition element are not met. a logical ‘else-if-then’ statement in a workflow.


Conditional branch instruction, английский
    Команда условного ветвления; команда условного перехода


Conditional branching, английский
    Ветвление по условию


Conditional breakpoint, английский
    Условный останов; условная точка останова; точка останова по условию; команда условного останова


Conditional breakpoint instruction, английский
    Команда условного останова


Conditional c component, английский

Conditional call, английский
    Applies mainly to convertible securities. circumstances under which a company can effect an earlier call, usually stated as percentage of a stock`s trading price during a particular period, such as 140% of the exercise price during a 40-day trading span.


Conditional call options, английский
    A protective guarantee that, in the event a high yield bond is called, the issuing corporation will replace the bond with a noncallable bond of the same life and terms as the bond that is being called.


Conditional clause, английский
    Условное предложение


Conditional color, английский
    Условный цвет


Conditional comment, английский
    Условный комментарий


Conditional commitment, английский

Independence, английский
  1. Г. индепенденс {шт. канзас, сша)

  2. Независимость

  3. In probabilistic expert systems, an attribute x is independent of another attribute y given a set of attributes w

  4. Self-suficiency concerning information. independent systems are closed to information. variation outside the boundaries of independent systems do not affect the variation within. there is no input. in statistics, two variables are independent if the coocurance of their values is mere chance, e.g., zero correlation. in logic and set theory, two variables are independent if the relation between them is the mere cartesian product of two properties. two individuals are independent if each does what he wants to do, neither having to consider the behavior of the other. a clock is designed to be independent of variation in temperature, geographical location including gravity while it is correlated with other clocks and communicating its output states to an observer. independent systems maybe a source but not the receiver of communication (->closed system, ->closure). .


Fundamental, английский
  1. A основной; ко- ренной; базисный, главный, существенный frequency fusing a использующий фузию

  2. The lowest frequency in a complex sound wave.


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.


Construction, французский

Independent, английский
  1. One who logs and sells his output on the open market; not associated with a mill or under company or dealer contract (19).

  2. Независимый; автономный

  3. Независимый, автономный

  4. Независимый, самостоятельный; рантье (лицо, живущее на доходы от капитала)

  5. Независимый

  6. A независимый

  7. A merchant ship under naval control, but sailing alone and unescorted by any warship.


Cogsys, английский
    Cogsys is a generic knowledge-based system development environment designed specifically to address realtime problems and is marketed by cogsys, ltd. see also: http://www.cogsys.co.uk/


Confidence threshold, английский
    Confidence thresholds are used in association rules to describe a lower bound on the probability that the consequence of an association is true when the antecedent is true. the confidence threshold is chosen to eliminate "uninteresting" or low probability consequences when searching for associations in a database. see also: association rules, support threshold.