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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
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- ejemplos de uso (varias frases con traducción)
- etimología
Qué (quién) es Rice coding - definición
LOSSLESS DATA COMPRESSION METHOD
Rice coding; Rice codes; Golomb code; Rice code; Golomb-Rice code; Golomb Rice code; Golomb-coded set
Golomb coding
Golomb coding is a lossless data compression method using a family of data compression codes invented by Solomon W. Golomb in the 1960s.
Rice (surname)
FAMILY NAME
Dr. Rice; Representative Rice
Rice is a surname that is frequently of Welsh origin, but also can be Irish, English, or even German. In Wales it is a patronymic surname, an Anglicized transliteration of Rhys, as are Reese and Reece.
Coding region
PORTION OF A GENE'S DNA OR RNA, COMPOSED OF EXONS, THAT CODES FOR PROTEIN; COMPOSED OF CODONS, WHICH ARE DECODED, TRANSLATED INTO PROTEINS BY THE RIBOSOME; BEGINS WITH THE START CODON AND END WITH A STOP CODON
Coding sequence; Coding regions; Coding DNA sequence; Protein coding region; Protein coding sequence; Gene coding; Coding DNA; Protein-coding
The coding region of a gene, also known as the coding sequence (CDS), is the portion of a gene's DNA or RNA that codes for protein. Studying the length, composition, regulation, splicing, structures, and functions of coding regions compared to non-coding regions over different species and time periods can provide a significant amount of important information regarding gene organization and evolution of prokaryotes and eukaryotes.
Wikipedia
Golomb coding
Golomb coding is a lossless data compression method using a family of data compression codes invented by Solomon W. Golomb in the 1960s. Alphabets following a geometric distribution will have a Golomb code as an optimal prefix code, making Golomb coding highly suitable for situations in which the occurrence of small values in the input stream is significantly more likely than large values.
