kernel trick
[/ˈkɜːrnəl trɪk/]
nounpl: kernel tricks
truque do kernel
1. A mathematical technique in machine learning that allows algorithms to operate in a high-dimensional feature space without explicitly computing the coordinates of data in that space, by using a kernel function to compute dot products between data points
The kernel trick enables support vector machines to handle non-linearly separable data efficiently.
O truque do kernel permite que máquinas de vetores de suporte lidem com dados não linearmente separáveis de forma eficiente.
2. A computational shortcut that replaces expensive high-dimensional transformations with kernel function evaluations
Using the kernel trick, we can train classifiers on transformed data without actually computing the transformations.
Usando o truque do kernel, podemos treinar classificadores em dados transformados sem realmente computar as transformações.
The kernel trick is fundamental terminology in machine learning and data science. It originated from statistical learning theory and is universally used in both Brazilian and Portuguese academic settings. The term is typically not translated in technical publications, where the English term 'kernel trick' is preferred even in Portuguese-language papers. This reflects the international nature of machine learning research and the dominance of English in technical computer science discourse.
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