kernel technique
[/ˈkɜːrnəl tɛkˈniːk/]
nounpl: kernel techniques
técnica de núcleo
1. A mathematical method in machine learning that transforms data into a higher-dimensional space to enable linear separation of non-linearly separable data
Support vector machines use kernel technique to classify complex datasets efficiently.
As máquinas de vetores de suporte usam técnica de núcleo para classificar conjuntos de dados complexos eficientemente.
2. A computational approach that calculates similarities between data points without explicitly mapping them to higher dimensions
The kernel technique reduces computational complexity in high-dimensional spaces.
A técnica de núcleo reduz a complexidade computacional em espaços de alta dimensionalidade.
This is a specialized technical term primarily used in academic and professional settings within computer science, data science, and artificial intelligence fields. It is rarely encountered in everyday conversation and remains relatively consistent across English and Portuguese-speaking technical communities.
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