non-linear separability
[/nɑn-ˈlɪn.i.ər ˌsep.ə.rə.ˈbɪl.ə.ti/]
nounfemininepl: non-linear separabilities / separabilidades não-lineares
separabilidade não-linear
1. A property in machine learning and mathematics describing data that cannot be separated into distinct classes using a linear decision boundary or hyperplane
The dataset exhibited non-linear separability, requiring the use of kernel methods or neural networks for proper classification.
O conjunto de dados apresentava separabilidade não-linear, exigindo o uso de métodos de kernel ou redes neurais para classificação adequada.
2. The condition where classes in a dataset require curved or complex surfaces rather than straight lines to achieve optimal separation
Support Vector Machines with RBF kernels excel at handling problems with non-linear separability.
Máquinas de Vetores de Suporte com kernels RBF se destacam no tratamento de problemas com separabilidade não-linear.
This is a specialized technical term primarily used in academic and professional machine learning contexts in both Brazil and the USA. It gained prominence with the rise of artificial intelligence and data science fields in the 2010s. In Brazil, the term is commonly used in computer science departments, tech companies, and AI research centers, particularly in São Paulo and Rio de Janeiro where there is significant tech industry presence. The concept is fundamental to understanding why simple linear models fail for complex real-world problems.
Related Idioms & Phrases
solving the non-linear separability problem
handling non-linear separability with kernels
overcoming non-linear separability challenges
Look up more words on Fala2Me
The free English-Portuguese dictionary with real Brazilian accents, NYC slang, conjugator and more
Open Fala2Me →