Глоссарий





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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



Глоссарии и словари бюро переводов Фларус

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Tabula rasa method

Глоссарий по искусственному интеллекту
    An algorithm for machine learning which starts with no prior knowledge of the subject matter other than the basic mechanisms for learning from input. although the addition of prior knowledge can speed up and otherwise improve the learning capability of an algorithm, tabula rasa methods have been quite successful and are generally easy to implement and test. see also: machine learning.




Mechanisms, английский

Capability, английский
  1. Способность; возможность; мощность; производительность

  2. A value that developers specify in the app manifest for their windows store apps. windows store apps use capabilities to declare that the app requires programmatic access to protected user resources, such as the pictures library, or connected devices, such as a webcam.

  3. The ability to perform a function, for example, the ability of a cloud to host highly available virtual machines is a capability, and the ability of a cloud to connect virtual machines to a certain logical network is a capability.


Successful, английский
    It`s the combos of repeated consonants that can make spelling successful, well, unsuccessful. just know that it has the doubles in the middle (two "s`s" and two "c`s"), but only one consonant at the beginning and one at the end.


Perceptron algorithm, английский
    An algorithm for determining the weights vector in a perceptron model.


Bucket brigade algorithm, английский
    An algorithm used in classifier systems for adjusting rule strengths. the algorithm iteratively applies penalties and rewards to rules based on their contributions to attaining system goals.