Noun:

વર્ગીકૃત,

classifier's Usage Examples:

This can be generalised to weighted nearest neighbour classifiers.

In machine learning, a nearest centroid classifier or nearest prototype classifier is a classification model that assigns to observations the label of.

Probabilistic classifiers provide classification that can be useful in its own right or when combining classifiers into ensembles.

system of unpronounced graphemes was compared to classifiers in spoken languages.

) "Numeral classifiers and substantival number: Problems in the genesis of a linguistic type".

classification, especially in a concrete implementation, is known as a classifier.

However this use of classifiers is optional.

strong (naïve) independence assumptions between the features (see Bayes classifier).

k-nearest neighbour classifier can be viewed as assigning the k nearest neighbours a weight 1 / k {\displaystyle 1/k} and all others 0 weight.

CLASSIFIER NP (possessor) NP (possessed) Examples of the possessive classifier.

than before it, or when repeated, a classifier signifies a plural or indefinite quantity.

constructions involving classifiers (general and alimentary) or direct suffixation respectively.

classifier based on a generative model is a generative classifier, while a classifier based on a discriminative model is a discriminative classifier,.

Synonyms:

thinker,

Antonyms:

categorem,