linear non-separability
[ˈlɪniər ˌnɑːnsɛpərəˈbɪləti]
nounfemininepl: linear non-separabilities / não-separabilidades lineares
não-separabilidade linear
1. A property in machine learning and mathematics where two classes of data points cannot be separated by a single linear classifier or hyperplane
The dataset exhibited linear non-separability, requiring the use of kernel methods or non-linear classifiers to achieve better classification accuracy.
O conjunto de dados exibiu não-separabilidade linear, exigindo o uso de métodos de kernel ou classificadores não-lineares para alcançar melhor precisão de classificação.
2. In pattern recognition, the characteristic of data where no straight line (in 2D) or hyperplane (in higher dimensions) can partition the classes without error
When features are linearly non-separable, algorithms like Support Vector Machines with RBF kernels are often employed.
Quando as características são linearmente não-separáveis, algoritmos como Máquinas de Vetores de Suporte com kernels RBF são frequentemente utilizados.
This is specialized terminology primarily used in machine learning, artificial intelligence, and statistical learning communities. It is more common in academic papers, technical documentation, and professional AI/ML discussions rather than everyday language. The term is used identically across English-speaking countries and Brazil, reflecting the international nature of computer science research.
Related Idioms & Phrases
the data is linearly non-separable
exhibiting linear non-separability
overcoming linear non-separability with kernels
Look up more words on Fala2Me
The free English-Portuguese dictionary with real Brazilian accents, NYC slang, conjugator and more
Open Fala2Me →