View example sentences, synonyms and word forms for Classifier.

Classifier

Classifier | Classified | Classifies | Classifiers

Classifier meaning

Someone who classifies. | A word or morpheme used in some languages (such as CJKV languages and American Sign Language), in certain contexts (such as counting), to indicate the semantic class to which something belongs. | A machine that separates particles or objects of different size or density.

Synonyms of Classifier

Example sentences (20)

Note how the first of the two characters uses the hand classifier and the second, the mouth classifier, perhaps subtly suggesting the order of how things happen — an embrace followed by a smooch.

In other words, if you suspect a news article or classroom assignment is AI-generated, whatever OpenAI’s classifier tells you may or may not be true.

It first needed a prompt that worked as an escalation classifier to decide if the question should be answered by a person or the LLM.

RBRM is an automated classifier that evaluates the model’s output on a set of rules in multiple-choice style, then rewards the model for refusing or answering for the right reasons and in the desired style.

The board blamed AI tools for misjudging the posts, since both the initial removal decision and the rejection of the user’s appeal were taken automatically based on a classifier score, without any human review.

The random forest model was established by invoking the random forest classifier of the GEE platform to obtain 10 m spatial resolution vegetation mapping of the Qinghai-Tibet Plateau in 2020.

To train the crater classifier, researchers fed it 6,830 Context Camera images, including those of locations with previously discovered impacts that already had been confirmed via HiRISE.

Given a single facial image, a classifier could correctly distinguish between gay and heterosexual men in 81% of cases, and in 71% of cases for women.

The 190-gene Envisia classifier detects the genomic pattern of usual interstitial pneumonia, a hallmark of IPF, with high accuracy.

A classifier can infer new classes and dynamically change the ontology as new information becomes available.

Artificial intelligence and machine learning main Bootstrapping is a technique used to iteratively improve a classifier 's performance.

Classifier performance depends greatly on the characteristics of the data to be classified.

Determining a suitable classifier for a given problem is still more an art than science.

Every two-element set serves as a subobject classifier in Set.

For example, the category of number in Assamese is fused with the category of classifier, which always carries a definite/indefinite reading.

For example, "three people" is expressed as 三个人 sān ge rén, "three GE person", where 个 ge is a classifier.

For instance, in English no extra word is needed 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.

Function complexity and amount of training data The second issue is the amount of training data available relative to the complexity of the "true" function (classifier or regression function).

Hence, high input dimensionality typically requires tuning the classifier to have low variance and high bias.

It needs to be noted that the term classifier is not used by everyone working on these constructions.