pattern$58486$ - traduzione in greco
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Traduzione e analisi delle parole tramite l'intelligenza artificiale ChatGPT

In questa pagina puoi ottenere un'analisi dettagliata di una parola o frase, prodotta utilizzando la migliore tecnologia di intelligenza artificiale fino ad oggi:

  • come viene usata la parola
  • frequenza di utilizzo
  • è usato più spesso nel discorso orale o scritto
  • opzioni di traduzione delle parole
  • esempi di utilizzo (varie frasi con traduzione)
  • etimologia

pattern$58486$ - traduzione in greco

SOFTWARE DESIGN PATTERN
Facade Pattern; Design Pattern - Facade; Façade pattern

pattern      
v. αντιγράφω, απομιμούμαι
weather conditions         
  • access-date=21 January 2016 }}</ref>}}
  • url-status=live }}</ref>
  • [[Cumulonimbus cloud]] surrounded by [[stratocumulus]]
STATE OF THE ATMOSPHERE
Waether; Wheather; Hot weather; Calm weather; The weather; Weather conditions; Weather systems; Fair weather; Weather Systems; Planetary weather; Weather patterns; Weather pattern; Inclement weather
καιρικές συνθήκες
fair weather         
  • access-date=21 January 2016 }}</ref>}}
  • url-status=live }}</ref>
  • [[Cumulonimbus cloud]] surrounded by [[stratocumulus]]
STATE OF THE ATMOSPHERE
Waether; Wheather; Hot weather; Calm weather; The weather; Weather conditions; Weather systems; Fair weather; Weather Systems; Planetary weather; Weather patterns; Weather pattern; Inclement weather
καλοκαιρία

Definizione

pattern recognition
<artificial intelligence, data processing> A branch of artificial intelligence concerned with the classification or description of observations. Pattern recognition aims to classify data (patterns) based on either a priori knowledge or on statistical information extracted from the patterns. The patterns to be classified are usually groups of measurements or observations, defining points in an appropriate multidimensional space. A complete pattern recognition system consists of a sensor that gathers the observations to be classified or described; a feature extraction mechanism that computes numeric or symbolic information from the observations; and a classification or description scheme that does the actual job of classifying or describing observations, relying on the extracted features. The classification or description scheme is usually based on the availability of a set of patterns that have already been classified or described. This set of patterns is termed the training set and the resulting learning strategy is characterised as supervised. Learning can also be unsupervised, in the sense that the system is not given an a priori labelling of patterns, instead it establishes the classes itself based on the statistical regularities of the patterns. The classification or description scheme usually uses one of the following approaches: statistical (or {decision theoretic}), syntactic (or structural), or neural. Statistical pattern recognition is based on statistical characterisations of patterns, assuming that the patterns are generated by a probabilistic system. Structural pattern recognition is based on the structural interrelationships of features. Neural pattern recognition employs the neural computing paradigm that has emerged with neural networks. (1995-09-22)

Wikipedia

Facade pattern

The facade pattern (also spelled façade) is a software-design pattern commonly used in object-oriented programming. Analogous to a facade in architecture, a facade is an object that serves as a front-facing interface masking more complex underlying or structural code. A facade can:

  • improve the readability and usability of a software library by masking interaction with more complex components behind a single (and often simplified) API
  • provide a context-specific interface to more generic functionality (complete with context-specific input validation)
  • serve as a launching point for a broader refactor of monolithic or tightly-coupled systems in favor of more loosely-coupled code

Developers often use the facade design pattern when a system is very complex or difficult to understand because the system has many interdependent classes or because its source code is unavailable. This pattern hides the complexities of the larger system and provides a simpler interface to the client. It typically involves a single wrapper class that contains a set of members required by the client. These members access the system on behalf of the facade client and hide the implementation details.