kernel matrix
[ˈkɜːrnəl ˈmeɪtrɪks]
nounpl: kernel matrices
matriz de núcleo
1. A mathematical matrix that represents the pairwise similarity or distance between data points using a kernel function, commonly used in machine learning algorithms
The kernel matrix is computed by applying the kernel function to all pairs of training examples.
A matriz de núcleo é calculada aplicando a função de núcleo a todos os pares de exemplos de treinamento.
2. In machine learning, specifically in support vector machines (SVMs) and kernel methods, a square matrix where each element K(xi, xj) represents the kernel function evaluated at two data points
For efficient computation, the kernel matrix is often precomputed and stored in memory.
Para computação eficiente, a matriz de núcleo é frequentemente pré-computada e armazenada na memória.
This is a specialized technical term primarily used in academic and professional contexts related to machine learning, artificial intelligence, and computational mathematics. The term is used identically across English and Portuguese-speaking technical communities, though Brazilian Portuguese prefers the full phrase 'matriz de núcleo' while Portugal may occasionally omit the preposition.
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