kernel functions
[/ˈkɜːrnəl ˈfʌŋkʃənz/]
nounpl: kernel functions
funções núcleo
1. In machine learning and mathematics, functions used in kernel methods that compute the similarity or inner product between data points in a transformed feature space without explicitly computing the transformation
Support vector machines rely on kernel functions to handle non-linear classification problems efficiently.
As máquinas de vetores de suporte utilizam funções núcleo para lidar eficientemente com problemas de classificação não-linear.
2. Mathematical functions that measure how similar two input vectors are by mapping them into a higher-dimensional space
The Gaussian kernel function is one of the most commonly used kernel functions in machine learning.
A função núcleo Gaussiana é uma das funções núcleo mais comumente utilizadas em aprendizado de máquina.
3. In operating systems, functions at the core of the kernel that manage system resources and hardware interactions
Kernel functions handle memory management and process scheduling in the operating system.
As funções núcleo gerenciam a memória e o agendamento de processos no sistema operacional.
This is technical terminology primarily used in academic and professional computer science, machine learning, and mathematics contexts. The term is relatively recent in both English and Portuguese, with many Brazilian and Portuguese technical professionals using the English term directly. In Brazilian universities and research institutions, the Portuguese translation 'funções núcleo' is gaining adoption, particularly in machine learning and AI research communities.
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