expectation-maximization
[/ˌɛkspɛkˈteɪʃən ˌmæksɪməˈzeɪʃən/]
noun
algoritmo de maximização da expectância
1. A statistical algorithm used to find maximum likelihood estimates of parameters in probabilistic models, especially when dealing with incomplete or hidden data. It alternates between an expectation step (E-step) and a maximization step (M-step).
The expectation-maximization algorithm is widely used in machine learning to train models with missing data.
O algoritmo de maximização da expectância é amplamente utilizado em aprendizado de máquina para treinar modelos com dados incompletos.
2. A computational technique that iteratively improves parameter estimates by calculating expected values of unobserved variables and then maximizing the likelihood function.
Researchers applied the expectation-maximization method to cluster the genomic data.
Os pesquisadores aplicaram o método de maximização da expectância para agrupar os dados genômicos.
The expectation-maximization algorithm is primarily a technical term used in statistics, machine learning, and data science communities worldwide. It is equally recognized in Brazilian and Portuguese academic settings, though the term is more commonly abbreviated as 'EM' in both languages. The concept originated in Western statistical research and is taught in graduate-level machine learning and statistics programs globally.
Look up more words on Fala2Me
The free English-Portuguese dictionary with real Brazilian accents, NYC slang, conjugator and more
Open Fala2Me →