Перевод и анализ слов искусственным интеллектом ChatGPT
На этой странице Вы можете получить подробный анализ слова или словосочетания, произведенный с помощью лучшей на сегодняшний день технологии искусственного интеллекта:
как употребляется слово
частота употребления
используется оно чаще в устной или письменной речи
варианты перевода слова
примеры употребления (несколько фраз с переводом)
этимология
Перевод текста с помощью искусственного интеллекта
Введите любой текст. Перевод будет выполнен технологией искусственного интеллекта.
Спряжение глаголов с помощью искусственного интеллекта ChatGPT
Введите глагол на любом языке. Система выдаст таблицу спряжения глагола во всех возможных временах.
Запрос в свободной форме к искусственному интеллекту ChatGPT
Введите любой вопрос в свободной форме на любом языке.
Можно вводить развёрнутые запросы из нескольких предложений. Например:
Дай максимально полную информацию об истории приручения домашних кошек. Как получилось, что люди стали приручать кошек в Испании? Какие известные исторические личности из истории Испании известны как владельцы домашних кошек? Роль кошек в современном обществе Испании.
SOFTWARE ARCHITECTURAL PATTERN FOR USER INTERFACES WHICH DIVIDES THE RELATED PROGRAM LOGIC INTO THREE INTERCONNECTED ELEMENTS TO SEPARATE INTERNAL REPRESENTATIONS OF INFORMATION AND HOW INFORMATION IS PRESENTED TO AND ACCEPTED FROM THE USER
Pattern Recognition; Pattern detection; Pattern recognition, visual; Machine pattern recognition; Pattern analysis; Pattern-recognition; Pattern Recognition and Learning; Pattern recognition and learning; Pattern recognition (machine learning); Algorithms for pattern recognition; List of algorithms for pattern recognition; Automated pattern recognition; Automatic pattern recognition; Statistical pattern recognition; Applications of pattern recognition; Fuzzy pattern recognition; List of pattern recognition algorithms
['pætnrekəg'niʃ(ə)n]
общая лексика
распознавание образов
идентификация графических изображений с помощью компьютерных технологий. Используется, в биометрических методах контроля доступа для распознавания голоса, отпечатков пальцев, фотографий и. п
pattern analysis
BRANCH OF MACHINE LEARNING
Pattern Recognition; Pattern detection; Pattern recognition, visual; Machine pattern recognition; Pattern analysis; Pattern-recognition; Pattern Recognition and Learning; Pattern recognition and learning; Pattern recognition (machine learning); Algorithms for pattern recognition; List of algorithms for pattern recognition; Automated pattern recognition; Automatic pattern recognition; Statistical pattern recognition; Applications of pattern recognition; Fuzzy pattern recognition; List of pattern recognition algorithms
анализ паттерна; статистическая методика прогнозирования, основанная на анализе аспектов паттерна, являющегося репрезентативным для определенной совокупности.
pattern analysis
BRANCH OF MACHINE LEARNING
Pattern Recognition; Pattern detection; Pattern recognition, visual; Machine pattern recognition; Pattern analysis; Pattern-recognition; Pattern Recognition and Learning; Pattern recognition and learning; Pattern recognition (machine learning); Algorithms for pattern recognition; List of algorithms for pattern recognition; Automated pattern recognition; Automatic pattern recognition; Statistical pattern recognition; Applications of pattern recognition; Fuzzy pattern recognition; List of pattern recognition algorithms
математика
анализ образов
pattern recognition
BRANCH OF MACHINE LEARNING
Pattern Recognition; Pattern detection; Pattern recognition, visual; Machine pattern recognition; Pattern analysis; Pattern-recognition; Pattern Recognition and Learning; Pattern recognition and learning; Pattern recognition (machine learning); Algorithms for pattern recognition; List of algorithms for pattern recognition; Automated pattern recognition; Automatic pattern recognition; Statistical pattern recognition; Applications of pattern recognition; Fuzzy pattern recognition; List of pattern recognition algorithms
распознавание образов
pattern recognition
BRANCH OF MACHINE LEARNING
Pattern Recognition; Pattern detection; Pattern recognition, visual; Machine pattern recognition; Pattern analysis; Pattern-recognition; Pattern Recognition and Learning; Pattern recognition and learning; Pattern recognition (machine learning); Algorithms for pattern recognition; List of algorithms for pattern recognition; Automated pattern recognition; Automatic pattern recognition; Statistical pattern recognition; Applications of pattern recognition; Fuzzy pattern recognition; List of pattern recognition algorithms
распознавание образов
Определение
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)
Model–view–controller (MVC) is a software architectural pattern commonly used for developing user interfaces that divide the related program logic into three interconnected elements. This is done to separate internal representations of information from the ways information is presented to and accepted from the user.
Traditionally used for desktop graphical user interfaces (GUIs), this pattern became popular for designing web applications. Popular programming languages have MVC frameworks that facilitate the implementation of the pattern.