Sentence examples for effectively supervised from inspiring English sources

"We apply the same editorial standards to Facebook Lives that we do to our award-winning programme and that means ensuring that they are effectively supervised at all times; this is the case with every new platform or format with which we engage".

There have been in one week three astonishing displays of this, apart from the trite if awful shattering of windows in the Edinburgh home of the moral moron with a million-pound annual severance, who effectively supervised nothing less than the collapse of the Royal Bank of Scotland.

Rattner depicts White House Chief of Staff Rahm Emanuel as a force to be reckoned with who disparaged unions -- once quipping "Fuck the UAW" -- and who effectively supervised Treasury Secretary Tim Geithner during his first rocky months on the job by dictating his public appearances and staff picks.

Eventually, it conceded that Iksil's trading strategy hadn't been supervised effectively, and a senior executive resigned — Ina Drew, who headed the chief investment office, for which Iksil, Grout, and Martin-Artajo all worked.

The main advantage of SELP is that it can effectively use limited supervised information to guide the detection process.

CB DOT may also provide a means by which DR TB (multidrug-resistant (MDR -TB or extensively drug-resistant (XDR) TB) can be supervised effectively, although all of the included studies in this review reported outcomes for patients treated with regimens for drug-sensitive TB.

Summarizing, we demonstrated that classification problems in toxicogenomics can be effectively addressed by a supervised learning approach.

Using trusted interaction data from DIP, we applied support vector machines (SVMs) (Vapnik, 1998) to effectively learn from our supervised training data (DIP) which types of correlations reveal physical interactions and which do not.

Among sparse complexes, even those with high EXT see an improvement, showing that SWC's supervised weighting can effectively reduce the number of spurious edges in the PPI network.

Apparently semi-supervised methods can effectively be trained on partial interaction data, and non-interaction data are not essential.

Automated prediction of protein subcellular localization is an important tool for genome annotation and drug discovery, and Support Vector Machines (SVMs) can effectively solve this problem in a supervised manner.