stochastic algorithm
[/stəˈkæstɪk ˈælɡərɪðəm/]
nounpl: stochastic algorithms
algoritmo estocástico
1. A computational procedure that incorporates random elements or probabilistic components in its decision-making process, producing different results on different runs with the same input
The machine learning model uses a stochastic algorithm to optimize its parameters through random sampling of the training data.
O modelo de aprendizado de máquina usa um algoritmo estocástico para otimizar seus parâmetros através de amostragem aleatória dos dados de treinamento.
2. An algorithm that uses randomness or probability theory as part of its logic, as opposed to deterministic algorithms that always produce the same output
Stochastic algorithms are particularly useful in situations where exact solutions are computationally infeasible.
Algoritmos estocásticos são particularmente úteis em situações onde soluções exatas são computacionalmente inviáveis.
This is a highly specialized technical term used in computer science, mathematics, and artificial intelligence fields. It is the same in both Brazilian Portuguese and European Portuguese, reflecting the universal nature of technical terminology in these disciplines. The term is commonly used in academic papers, software development, and data science discussions across both Brazil and the United States.
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