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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 sequential estimation - definición
Sequential estimation
In statistics, sequential estimation refers to estimation methods in sequential analysis where the sample size is not fixed in advance. Instead, data is evaluated as it is collected, and further sampling is stopped in accordance with a predefined stopping rule as soon as significant results are observed.
Sequential art
![[[Eadweard Muybridge]] was interested in what closely-spaced sequential photography could show about motion; his works blur the line between science and art, although they are not proper comics.](https://commons.wikimedia.org/wiki/Special:FilePath/Eadweard Muybridge - Athletes. Walking High Leap.jpg?width=200 "[[Eadweard Muybridge]] was interested in what closely-spaced sequential photography could show about motion; his works blur the line between science and art, although they are not proper comics.")
CATEGORY OF ART THAT PRESENTS A SEQUENCE; COMICS ARE A PROMINENT EXAMPLE
Sequential Art; Graphic narrative; Graphic literature; Pictorial narrative; Sequential storytelling; Sequential narrative; Narrative illustration; Sequential pictorial narrative; Sequential sculpture; Letteratura disegnata; Graphic storytelling; Sequential literature
In comics studies, sequential art is a term proposed by comics artist Will EisnerWill Eisner, Comics and Sequential Art, Poorhouse Press, 1990 (1st ed.: 1985), p.
Sequential minimal optimization
OPTIMIZATION ALGORITHM FOR TRAINING SUPPORT VECTOR MACHINES
Sequential Minimal Optimization
Sequential minimal optimization (SMO) is an algorithm for solving the quadratic programming (QP) problem that arises during the training of support-vector machines (SVM). It was invented by John Platt in 1998 at Microsoft Research.
