non-linear classifier
[/nɑːn ˈlɪniər ˈklæsɪfaɪər/]
nounpl: non-linear classifiers
classificador não-linear
1. A machine learning model that uses non-linear decision boundaries to separate data into different classes, capable of learning complex patterns that cannot be separated by straight lines or hyperplanes
Support vector machines with kernel functions are examples of non-linear classifiers.
Máquinas de vetores de suporte com funções kernel são exemplos de classificadores não-lineares.
2. An algorithm or mathematical function that maps input features to output classes through non-linear transformations
Neural networks are powerful non-linear classifiers used in deep learning applications.
Redes neurais são classificadores não-lineares poderosos utilizados em aplicações de aprendizado profundo.
This is primarily a technical term used in academic and professional contexts in both Brazil and the USA within the fields of machine learning, data science, and artificial intelligence. It is part of the specialized vocabulary of computer scientists and machine learning engineers.
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