supervised - definition. What is supervised
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%ما هو (من)٪ 1 - تعريف

MACHINE LEARNING TASK OF LEARNING A FUNCTION THAT MAPS AN INPUT TO AN OUTPUT BASED ON EXAMPLE INPUT-OUTPUT PAIRS
Supervised classification; Supervised machine learning; Supervised Machine Learning; Fully-supervised machine learning; Applications of supervised learning; Algorithms for supervised learning; Generative training

Supervised      
·Impf & ·p.p. of Supervise.
Supervised learning         
Supervised learning (SL) is the machine learning task of learning a function that maps an input to an output based on example input-output pairs.Stuart J.
Supervised injection site         
  • Naloxone, a drug on hand at clinics used to administer in cases of [[opioid overdose]]
MEDICAL FACILITY
Safe injection sites; Injecting room; Safer injection facility; Supervised injection facilities; Safe injection site; Supervised injection sites; Fix room; Harm reduction center; Supervised Consumption Site; Supervised injection facility
Supervised injection sites (SIS) are medically supervised facilities designed to provide a hygienic environment in which people are able to consume illicit recreational drugs intravenously and prevent deaths due to drug overdoses. The legality of such a facility is dependent by location and political jurisdiction.

ويكيبيديا

Supervised learning

Supervised learning (SL) is a machine learning paradigm for problems where the available data consists of labeled examples, meaning that each data point contains features (covariates) and an associated label. The goal of supervised learning algorithms is learning a function that maps feature vectors (inputs) to labels (output), based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples. An optimal scenario will allow for the algorithm to correctly determine the class labels for unseen instances. This requires the learning algorithm to generalize from the training data to unseen situations in a "reasonable" way (see inductive bias). This statistical quality of an algorithm is measured through the so-called generalization error.

أمثلة من مجموعة نصية لـ٪ 1
1. Supervised Freed despite the Home Secretary‘s protests, they are now being supervised by the probation service.
2. Doerhoff, who had already supervised 48 executions, supervised six more after the reprimand, the newspaper reported.
3. Everyone must be restrained and carefully supervised.
4. Security Council that envisaged internationally supervised independence for the province.
5. All are currently supervised by the Federal Atomic Energy Agency.