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19 апреля, 2024

Translations in furniture production

07 февраля, 2024

Ghostwriting vs. Copywriting

30 января, 2024

Preparing a scientific article for publication in an electronic (online) journal

20 декабря, 2023

Translation and editing of drawings in CAD systems

10 декабря, 2023

About automatic speech recognition

30 ноября, 2023

Translation services for tunneling shields and tunnel construction technologies

22 ноября, 2023

Proofreading of English text



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Evidence flows

Глоссарий по искусственному интеллекту
    In belief networks, evidence flows are used to demonstrate how a particular piece of data alters the weights or probabilities for other conclusions.




Evidence, английский
  1. Any proof legally presented at trial through witnesses, records, and/or exhibits

  2. The information that tends to prove or disprove a conclusion. it can be used to establish a fact or to support an argument

  3. Свидетельство, доказательство

  4. Доказательство; фактические данные

  5. The properties of code, such as a digital signature or the zone or site of its origin, that are used by security policy to grant permissions to code. ewm (n)


Evidence, английский

Evidence based, английский
  1. Основанный на доказательствах evidence-based medicine (ebm)

  2. Основанный на доказательствах


Evidence of debt, английский
    Долговой документ


Evidence of suitability, английский
    Свидетельство о пригодности [о соответствии техническим условиям] exaggeration:


Evidence of title, английский
    Документ, подтверждающий право собственности


Evidence suggests, английский
    Опыт показывает


Evidence theory, английский
    See: belief functions, dempster-shaefer theory. evolutionary algorithm (ea) an evolutionary algorithm (ea) is a general class of fitting or maximization techniques. they all maintain a pool of structures or models that can be mutated and evolve. at every stage in the algorithm, each model is graded and the better models are allowed to reproduce or mutate for the next round. some techniques allow the successful models to crossbreed. they are all motivated by the biologic process of evolution. some techniques are asexual (so, there is no crosspage 99 breeding between techniques) while others are bisexual, allowing successful models to swap ``genetic" information. the asexual models allow a wide variety of different models to compete, while sexual methods require that the models share a common "genetic" code. evolutionary programming (ep) evolutionary programming (ep) is a machine learning (model estimation) technique that generalizes the genetic algorithm (ga) by keeping the evolutionary behavior and dropping the tight link to biologic genetics. it is essentially similar to asexual reproduction, in that each generation is evaluated and the most fit are most likely to reproduce. during reproduction, each "child" model is allowed to mutate. this method focuses less on the internal representation of the model and more on the behavior of the models. it becomes easier to mix diverse types of models in the same mix. note that this technique usually selects the "winners" stochastically rather than deterministically.


Evidence, circumstantial, испанский
    Conclusion drawn from proven facts


Evidence-based medicine, английский
  1. Medical practice where findings from research are used as the basis for decisions

  2. The practice of medicine with treatment recommendations that have their origin in objective tests of efficacy published in the scientific literature rather than anecdotal observations.


Evidence-based medicine (ebm), английский
    Доказательная медицина (дм) или медицина, основанная на доказательствах


Evidence-based program (programming), английский

Flow, английский
  1. Flux;débit

  2. Поток, течение

  3. Поток (в снс; учитываемая за определенный период или на определенную дату экономическая операция — по отношению к доходам, расходам, обязательствам и др.)

  4. 1. a movement of liquid or gas  they used a tourniquet to try to stop the flow of blood. 2. the amount of liquid or gas which is moving  the meter measures the flow of water through the pipe.

  5. N поток information ~ поток информации

  6. Поток

  7. In tidology, the rising of the tide; the opposite of ebb. also, the course or direction of running waters.

  8. Said of an incoming tide.

  9. Describes the smooth surface characteristics of the powder coating


Flow, английский

Flow, английский

Flow, английский

Flow, английский

Flow (measured), английский

Flow (stream), английский

Flow a t tenua t i on, английский

Demonstrate, английский

Particular, английский
    A частный; конкретный grammar partitioned a разделённый на части sequence 1 одна из базовых операций компьютерной обработки текстов; в каче- стве данных берутся текст либо сегмент текста, грамматика и цель разбора, а на выходе получается удовлетворяющее цели множество значений категориальной отнесённости сегментов в виде, например, дерева разбора. 2 применяется запоминание также и гипотез, выдвигаемых при разбо- ре, и результатов их проверки – м. кэй. 3 используется, в частности, для разбора арифметических выражений. partitioning n членение sentence ~ членение предложений (напр., при переводе )


Credible set, английский
    In bayesian and quasi-bayesian models, a p-level credible set is any set of events for which the total probability is p. if the events are ordered on an interval (e.g., predicted values of a stock), then the interest is usually on a p-level credible interval, in particular the highpage 68 est posterior density interval, which is the shortest interval with the specified probability. crews_ns crews_ns is scheduling system used to schedule drivers and guards for the dutch railways. the crews_ns system accommodates changes in plans and resource availability. it uses state-space searches and constraint propagation to guide the system and operate in automatic, semi-automatic, and manual modes.


Soft split, английский
    In classical tree models, the split at a node is complete; that is, a single case can only follow a single node down a tree. a "soft split" generalizes that idea and allows a single case to be propagated down multiple nodes with different weights. a single observation is thus split into multiple "pieces," with associated weights. the final prediction or classification would then be a weighted combination of the predictions of the final pieces. see also: classification and regression trees, hierarchical mixtures of experts.