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Traducción y análisis de palabras por inteligencia artificial ChatGPT

En esta página puede obtener un análisis detallado de una palabra o frase, producido utilizando la mejor tecnología de inteligencia artificial hasta la fecha:

cómo se usa la palabra
frecuencia de uso
se utiliza con más frecuencia en el habla oral o escrita
opciones de traducción
ejemplos de uso (varias frases con traducción)
etimología

Qué (quién) es posterior estimate - definición

Raygor Estimate Graph; Raygor Readability Estimate

Posterior cingulate cortex

CAUDAL PART OF THE CINGULATE CORTEX OF THE BRAIN

Posterior cingular cortex; Posterior cingulate gyrus; Posterior cingulated cortex; Posterior cingulate

The posterior cingulate cortex (PCC) is the caudal part of the cingulate cortex, located posterior to the anterior cingulate cortex. This is the upper part of the "limbic lobe".

https://en.wikipedia.org/wiki/Posterior_cingulate_cortex

Posterior probability

CONDITIONAL PROBABILITY DISTRIBUTION USED IN BAYESIAN STATISTICS

Posterior probability distribution; Posterior distribution; Posterior probabilities; Posterior probability density function; A posteriori distribution; Relative frequency probability

The posterior probability is a type of conditional probability that results from updating the prior probability with information summarized by the likelihood, through an application of Bayes' theorem. From an epistemological perspective, the posterior probability contains everything there is to know about an uncertain proposition (such as a scientific hypothesis, or parameter values), given prior knowledge and a mathematical model describing the observations available at a particular time.

https://en.wikipedia.org/wiki/Posterior_probability

Posterior nucleus of hypothalamus

The posterior nucleus of the hypothalamus is one of the many nuclei that make up the hypothalamic region of the brain.

https://en.wikipedia.org/wiki/Posterior_nucleus_of_hypothalamus

Wikipedia

Raygor readability estimate

The Raygor estimate graph is a readability metric for English text. It was developed by Alton L. Raygor, who published it in 1977.

The US grade level is calculated by the average number of sentences and letters per hundred words. These averages are plotted onto a specific graph where the intersection of the average number of sentences and the average number of letters/word determines the reading level of the content. Note that this graph is very similar to the Fry readability formula's graph.

This graph is primarily used in secondary education to help classify teaching materials and books into their appropriate reading groups.

https://en.wikipedia.org/wiki/Raygor readability estimate