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Subtautolgy
| Глоссарий по искусственному интеллекту |
A subtautolgy in a clause is a proper subterm of the clause that is true. eliminating subtautologis is restriction strategy that can be used in automated reasoning systems. see also: otter. sum-product algorithm the sum-product algorithm is a method for probability propagation in singly-connected bayesian networks. rather than a using a full multivariate representation, a factored model is used, which decomposes the multivariate probability into combinations of products and sums. see also: generalized em, generalized forward-backward algorithm, factor graph, markov random fields.
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Restriction, английский
- Ограничение; сужение
- On land, an encumbrance limiting its use; usually imposed for community or mutual protection.
- N ограничение (син. constraint) ignorance rule ~s ограничения на применение правила selectional ~ селекционное ограничение
- [1] a limitation on the movement of a person within a warship or shore establishment, either as a form of punishment or because of illness. [2] a limitation on the movement of goods or of a vessel.
- Ограничение; запрет ~ of deformations ограничение деформаций
- A setting that blocks access to program or operating system functionality by windows steadystate.
- If two or more independent and distinct inventions are claimed in a single application, the examiner may require the applicant to elect (designate) a single invention to which the claims will be restricted (limited to). this requirement is known as a requirement for restriction (also known as a requirement for division). such requirement will normally be made before any action on the merits; however, it may be made at any time before final action (final rejection).
- If a single application claims two or more independent and distinct inventions, the examiner may need the applicant to elect a single invention to which the claims have restrictions. this is a rule for restriction.
Probability, английский
- 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
- Вероятность. возможность.
- 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.
- Вероятность
- Вероятность probability sample, syn. random sample
- Вероятность. мера случайности появления конкретного события. например, вероятность случайного выбора из популяции человека с конкретным качеством соответствует доле людей в популяции, обладающих этим качеством.
- Вероятность; возможность
- Вероятность; обеспеченность (гидрологической величины) ~ of no-failure вероятность безотказной работы
- 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.
- 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].
- The likelihood of something happening. for example, sale being made.
- 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].
- The relative likelihood of a particular outcome among all possible outcomes.
- Likelihood that an event may occur, expressed as a number between 0 and 1.
Propagation, английский
- Прохождение, распространение (напр, радиоволн)
- An act of causing something to spread or multiply
- Распространение; размножение; продвижение; передача
- Распространение
- The process of distributing an index from a content index server to one or more web servers for the purposes of providing search.
- Advancement of a wave through a medium.
- Advancement of energy or a crack through a medium. see also brittle crack propagation; ductile crack propagation; fatigue crack propagation.
- Movement of a wave through a medium.7,21
Multivariate, английский
Многомерный
Representation, английский
- N репрезента- ция, представление knowledge ~ представление знаний internal ~ псхл. внутреннее представление mental ~ ментальная репрезентация
- A collateral statement of such facts not inserted on the policy of insurance, as may give the underwriters a just estimate of the risk of the adventure. (see warranty.)
- A representation is a set of conventions about how to describe a class of things. representation will generally consist of four parts: 1. a lexicon that determines which symbols are in it vocabulary; 2. a structural part that describes the constraints on the symbols; 3. a collection of methods or procedures that allow the symbols to be manipulated and queried; and 4. a semantics that specifies the meaning of the symbols and their relationships. re-ranking in handwriting and text recognition systems, the task of re-ranking allows the candidate interpretations developed by the recognizer to be ranked or scored according to the language model. see also: word n-gram re-ranking, word-tag model.
- If something stands in place of or is chosen to substitute for something else, the former is considered a representation of the latter. e.g., representation of constituencies in government, linguistic representation of an event (->symbol). the 66 belief that all knowledge is a representation of the properties of the real world is as unacceptable as the insistence that all descriptions or messages are about something else.
Combinations, английский
The number of combinations of n things taken k at a time is the number of ways of picking a subset of k of the n things, without replacement, and without regard to the order in which the elements of the subset are picked. the number of such combinations is nck = n!/(k!(n−k)!), where k! (pronounced "k factorial") is k×(k−1)×(k−2)× … × 1. the numbers nck are also called the binomial coefficients. from a set that has n elements one can form a total of 2n subsets of all sizes. for example, from the set {a, b, c}, which has 3 elements, one can form the 23 = 8 subsets {}, {a}, {b}, {c}, {a,b}, {a,c}, {b,c}, {a,b,c}. because the number of subsets with k elements one can form from a set with n elements is nck, and the total number of subsets of a set is the sum of the numbers of possible subsets of each size, it follows that nc0+nc1+nc2+ … +ncn = 2n. the calculator has a button (ncm) that lets you compute the number of combinations of m things chosen from a set of n things. to use the button, first type the value of n, then push the ncm button, then type the value of m, then press the "=" button.
Generalized, английский
- A генерализован- ный, расширенный; обобщенный grammar, marker, transformation generalizing a генерализирующий, абстрактизи- рующий article
- Общий; обобщенный; универсальный
- Ка rhunen-loeve transform, gklt обобщенное преобразование карунена-лоэва
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Sublattice, английский
A sublattice l0 of a lattice l is a subset of the lattice l such that the elements x y and x y are in l0 whenever x and y are in l0. see also: lattice.
Fuzzy artmap, английский
A supervised fuzzy art network. see also: ftp:://ftp.sas.com/pub/neural/faq2.html, http://www.wi.leidenuniv.nl/art/. fuzzy associative mmemory (fam) a fuzzy function, or model, that takes a k-dimensional fuzzy input and produces a 1-dimension fuzzy output. comparable to a regression model or a neural network. the model can learn (estimate) from data or have its parameters set in some other fashion, e.g., by the model designer.
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