Noun:

ক্লাসিফায়ার,

classifier's Usage Examples:

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

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

The term "classifier" sometimes also refers to the mathematical function, implemented.

one category or the other, making it a non-probabilistic binary linear classifier (although methods such as Platt scaling exist to use SVM in a probabilistic.

A classifier (abbreviated clf or cl) is a word or affix that accompanies nouns and can be considered to "classify" a noun depending on the type of its.

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

The terms "classifier" and "measure word" are frequently used.

The most intuitive nearest neighbour type classifier is the one nearest neighbour classifier that assigns a point x to the class of its closest.

when saying "three people", but in many East Asian languages a numeral classifier is added, just as a measure word is added for uncountable nouns in English.

[according to whom?] The broader term of multiple classifier systems also covers hybridization of hypotheses that are not induced by.

learners create a single strong learner?" A weak learner is defined to be a classifier that is only slightly correlated with the true classification (it can.

A linear classifier achieves this by making a classification decision based on the value of.

vector machines Neural networks Logistic regression Probit model Each classifier is best in only a select domain based upon the number of observations.

an algorithm for supervised learning of binary classifiers.

A binary classifier is a function which can decide whether or not an input, represented by.

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

to the head noun in a direct possessive construction, or a relational classifier in an indirect possessive construction.

-all, OvA or one-against-all, OAA) strategy involves training a single classifier per class, with the samples of that class as positive samples and all.

Learning classifier systems, or LCS, are a paradigm of rule-based machine learning methods that combine a discovery component (e.

In machine learning, a probabilistic classifier is a classifier that is able to predict, given an observation of an input, a probability distribution over.

"ranx" plus a proper classifier as below: ranx zuen uxaeu (every classifier man/one) "everyone" ranx hom blongs (every classifier house) "every house".

treat all nouns as mass nouns, and need to make use of a noun classifier (see Chinese classifier) to add numerals and other quantifiers.

Synonyms:

thinker;

Antonyms:

categorem;