Sentence examples for training from the previous from inspiring English sources

It was valuable to start every class by repeating the training from the previous session.

To avoid being out of the system for months, the community nominates another member who gets informal training from the previous CHW and the CHS, and immediately begins work as a CHW.

For LLE, the classifiers trained from the previous data set can not apply here since the new projections have to be retrained completely using the new data set.

TL-based classification methods are designed to achieve high classification accuracy with relatively small number of labeled samples from the new image (target domain) by efficient reuse of the training data from the previous different but relative images (source domain) [5 7].

The DSiWare iterations include training modes from the previous two Nintendo DS games, including new ones that take advantage of the Nintendo DSi's camera.

In his left coat pocket were three train tickets from the previous morning: a single from Ealing Broadway to London Euston (£4.80), and a return from Euston to Manchester Piccadilly (£81.50).

Here, Di,j−1 is the departure time of train i from the previous stop j−1, r j is the travel time between the two stations, (y_{i,j - 1} cdot v_{hbox{max} } /(432 cdot partial ))is the acceleration time at station j 1, and (y_{i,j} cdot v_{hbox{max} } /(432 cdot beta))is the deceleration time at station j.

In addition, the average values of equivalent sand roughness k⁎S for high-speed Japanese trains are estimated from the previous data obtained from running experiments.

The following November, an empty oil train collided with another derailed train about a mile from the previous crash, not far from an active ethanol plant.

The likelihood of a player sustaining an injury in a match or training showed little change from the previous season but concussion remains the single biggest concern, accounting for 17% of reported injuries.

The least number of calls dropped were achieved when the prediction was based on training of traffic load from the previous week.