Sentence examples for supervised regulations from inspiring English sources

Only few poorly supervised regulations.

- Supervised and semi-supervised training – We distinguish between supervised and semi-supervised training.

So far, at least, a striking feature of the crisis has been that hedge funds, the least regulated part of the finance industry, have proved more stable than more heavily supervised institutions.Similarly, re-regulation should proceed cautiously and with an eye to unintended consequences.

Supervised analysis identified up-regulation of EFNA1 in cases with 1q gain, and EFNA1 expression was correlated with the expression of a target gene (VEGF).

Enter a great and good supervised era of cowed self-regulation as big-beast lawyers roam the earth?

It underscores the divisiveness of the debate about press regulation, at present supervised by a self-regulatory body generally seen as feeble.

The prime minister's action also underscored the divisiveness of the debate about press regulation, at present supervised by a self-regulatory body generally seen as a feeble restraint on newspapers with a reputation for a headlong pursuit of scoops and a frequent disregard for the privacy of politicians, celebrities and others.

A report by the Care Quality Commission in June said GSTS was not compliant with the regulation to ensure staff were properly trained and supervised, and have the chance to develop their skills.

Following initial assessment of the host cell response to each condition, supervised class prediction was performed to investigate differences in gene regulation among experimental conditions.

The SVM-BD classifier combined with the ROS (RS: 100%) preprocessing with regulation parameter 0.5 outdid the rest of the big data supervised solutions and the popular unsupervised (RBH, RSD, and OMA) algorithms even when the supervised model was extended to datasets containing "traps" for OD algorithms.

To account for external knowledge in the network construction process, Yeung et al. [ 3] introduced a supervised framework to estimate the weights of various types of evidence of transcriptional regulation and subsequently derived top candidate regulators.