algorithmic stability
[ˌælɡəˈrɪðmɪk stəˈbɪləti]
nounfemininepl: estabilidades algorítmicas
estabilidade algorítmica
1. A property of an algorithm where small perturbations in input data result in small changes in output, ensuring robustness and reliability of computational results
The machine learning model demonstrated good algorithmic stability across different datasets.
O modelo de aprendizado de máquina demonstrou boa estabilidade algorítmica em diferentes conjuntos de dados.
2. In numerical analysis, the characteristic of an algorithm to control and minimize error propagation during computation
Algorithmic stability is crucial when performing iterative calculations with floating-point arithmetic.
A estabilidade algorítmica é crucial ao realizar cálculos iterativos com aritmética de ponto flutuante.
3. In machine learning theory, the ability of a learning algorithm to generalize well and produce consistent predictions when trained on slightly different datasets
Researchers focus on algorithmic stability to prevent overfitting in deep neural networks.
Pesquisadores focam na estabilidade algorítmica para evitar overfitting em redes neurais profundas.
This is a technical term widely used in computer science, mathematics, and machine learning fields in both Brazil and the USA. It is particularly important in academic research and software development communities. The term is language-neutral in professional contexts and appears consistently across Portuguese-speaking and English-speaking technical literature without significant regional variations.
Related Idioms & Phrases
maintain algorithmic stability
ensure algorithmic stability
compromised algorithmic stability
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