AdaBoost
1. A machine learning ensemble method that combines multiple weak classifiers to create a strong classifier by iteratively training classifiers and adjusting weights of misclassified instances
AdaBoost improved the accuracy of the image recognition model by combining several decision trees.
AdaBoost melhorou a precisão do modelo de reconhecimento de imagem ao combinar várias árvores de decisão.
2. An adaptive boosting algorithm developed by Freund and Schapire that assigns higher weights to incorrectly classified samples in subsequent iterations
The AdaBoost algorithm was trained on 1000 samples to detect fraudulent transactions.
O algoritmo AdaBoost foi treinado em 1000 amostras para detectar transações fraudulentas.
AdaBoost is a specialized technical term originating from computer science and machine learning research. It is used uniformly across English and Portuguese-speaking technical communities without translation, similar to other algorithm names. The term is commonly found in academic papers, programming documentation, and data science courses in both Brazil and Portugal.
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