Sentence examples for training on all from inspiring English sources
The LOOCV procedure consisted of training on all but one positive samples, and then testing efficiency of recognition of that one sample among all negative samples.
They attended a one-week training on all modules of the AMDD Toolkit, including use of the CS chart review research tool and its methodology, and their competence was evaluated during a pilot of the tool at health facilities in Kabul.
The ability of a Random Forest classifier trained on one ligand to reject binding sites of different ligands was assessed by comparing Random Forest scores from 10-fold cross-validation for one ligand (ligand 1) with scores from training on all cross-validation data for ligand 1 and then predicting for data from a different ligand (ligand 2).
Similar to [23], we add a horizontally flipped version of each sequence to the dataset to increase data samples and use the leave-one-out setup, i.e., testing on each original sequence while training on all other sequences except the flipped version of the tested sequence.
It also performs an enormous amount of training on all areas of safety and security.
A lot of the top stars, people like Lisa Dobriskey and Martyn Rooney, are out running every day, training on all our carefully prepared surfaces.
The secondary objectives are to assess the effects of the training on: all-cause and heart-failure (HF -associated mortality; all-cause and HF -associatedhospitalisation; the cumortalitynumber of all cause death and HF hospitandsations; adherence to treatment; changes in NYHA hospitalisationthee; cumulativeight anumbery mass index (BMI) and treatment fof allollow-up period of 19 months.
During cross-validation, a model is trained on all but one alignment from the training corpus and testing is performed on the withheld data.
In k-fold cross-validation, the training data is divided into k groups, and a model is trained on all but one of the groups and tested on the left out group.
We trained and tested the model by using Leave- One-Speaker-Out crossvalidation where the model is trained on all speakers except one and then tested on the utterances of the speaker that were left out during training.
For this one the locals had their camera phones trained on all parts of a ground in which Chelsea had drawn 0-0 four yeats ago at a similar stage of the competition – and where United were about to be shocked.
