Sentence examples for experts supervised from inspiring English sources

The project's CP experts supervised student interns and provided follow-up assistance to the MSMEs to implement the prioritized recommendations.

The company has more than 150 software experts supervised by Aftab's brother in a 33,000-square-foot office in Karachi.

To double-check his confessions and assess the damage caused by his lengthy betrayal, the government has created a team of experts supervised by Paul Redmond, the C.I.A. counterintelligence expert, now retired, who led the investigation that caught Mr. Ames.

Subsequently, an international group of experts supervised by the pioneering group from Berlin then defined a consensually accepted standardised protocol in 2005 [ 6].

They also offer extended sessions of expert-supervised "asino-thérapie".

Rabb is laser-focused on credibility and accuracy, and posts are accepted from only experts or supervised students.

Our resident expert Mark, supervised by Steve from Straintek, has just finished fitting strain gauges inside the air intake, which will feed huge volumes of high-pressure air to our EJ200 jet engine.

The accuracy of the proposed methodology is verified against an automated workflow created by the output of a conventional filter bank (validated by experts) and the supervised training of a random forest classifier.

Berkeley students are receiving training from world-class open source intelligence experts and conducting supervised research into suspected human rights violations and public health challenges with an eye toward impact and accountability.

Integration of the knowledge in the field will allow development of universal database libraries allowing identification and data mining of novel and well-understood materials, refinement and improvement of dynamic data, and ultimately creation of supervised expert systems that will allow rapid identification and analysis of unknown systems.

We choose the mixture of experts framework as our supervised model because it provides a complete probabilistic framework for localizing a classification model to specific clusters within a dataset.