All translations

Enter a message name below to show all available translations.

Found 3 translations.

Name	Current message text
^h English (en)	* '''Dimensionality''' — vectors are extremely high-dimensional (typically <math>V > 100{,}000</math>). * '''No similarity''' — every pair of {{Term\|one-hot encoding\|one-hot}} vectors is equally distant: <math>\mathbf{e}_i^\top \mathbf{e}_j = 0</math> for <math>i \neq j</math>. "Cat" is as far from "dog" as it is from "democracy."
^h Spanish (es)	* '''Dimensionalidad''' — los vectores son de dimensión extremadamente alta (típicamente <math>V > 100{,}000</math>). * '''Sin similitud''' — cada par de vectores {{Term\|one-hot encoding\|one-hot}} está igualmente distante: <math>\mathbf{e}_i^\top \mathbf{e}_j = 0</math> para <math>i \neq j</math>. «Gato» está tan lejos de «perro» como lo está de «democracia».
^h Chinese (zh)	* '''维度''' — 向量维度极高（通常 <math>V > 100{,}000</math>）。 * '''缺乏相似性''' — 任意两个 {{Term\|one-hot encoding\|独热}} 向量之间的距离都相等：当 <math>i \neq j</math> 时 <math>\mathbf{e}_i^\top \mathbf{e}_j = 0</math>。「猫」与「狗」的距离和它与「民主」的距离一样远。