Bayesian processing
[BAY-zee-uhn PROS-es-ing]
noun
processamento bayesiano
1. A computational or cognitive method that uses Bayes' theorem to update probabilities based on new evidence, combining prior beliefs with observed data to form posterior probabilities
The brain may use Bayesian processing to interpret ambiguous sensory information.
O cérebro pode usar processamento bayesiano para interpretar informações sensoriais ambíguas.
2. In machine learning and artificial intelligence, a statistical approach to decision-making and prediction that incorporates prior knowledge and likelihood estimates
Bayesian processing allows the algorithm to improve its predictions with each new data point.
O processamento bayesiano permite que o algoritmo melhore suas previsões a cada novo ponto de dados.
3. In cognitive psychology, the hypothesis that the human brain performs probabilistic inferences similar to Bayesian statistics when processing information
Evidence suggests that Bayesian processing may explain how we rapidly make judgments under uncertainty.
Evidências sugerem que o processamento bayesiano pode explicar como fazemos julgamentos rápidos sob incerteza.
This term is primarily used in academic and scientific contexts in both Brazil and the USA. It is particularly prevalent in cognitive neuroscience, machine learning research, and artificial intelligence development. The concept has gained significant importance since the 1990s as computational models of the brain have increasingly adopted Bayesian frameworks. In Brazilian universities and research institutions, the English term 'Bayesian processing' is often used alongside the Portuguese translation 'processamento bayesiano' in technical discussions.
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