Sentence examples for pooling of training from inspiring English sources

Our objectives were to (i) demonstrate the use of Bayesian multilevel whole-genome regression models for genomic prediction and (ii) investigate scenarios in which partial pooling might be superior over no or complete pooling of training sets.

This explains why no pooling was the most accurate approach when N p was large (e.g., ≥50), particularly in the NAM population, and why it profited most from increases in N p. Therefore, pooling of training sets is most promising if N p is small due to budget or other constraints.

The WHO, during its 63rd World Health Assembly advised member states to increase inter-country cooperation to achieve efficiency in the area of health through the sharing of experiences, data and information on best practices and resources, the pooling of training resources, and the use of common and standardized evaluation methods.

A pool of training data was created for each environment.

The Adaboost resolves these problems with some training algorithm which uses a pool of training data and a pool of candidate features.

Maps produced in different years would be expected to differ both because of intervening disturbance and growth, and because the pool of training data could be different.

(a) For each class, select the hardest sample to result in samples added to the pool of training sample for subsequent learning.

For each class, select the hardest sample to result in samples added to the pool of training sample for subsequent learning.

Training of the network is done using the Levenberg Marquardt (LM) method with generalization techniques such as early stopping and Bayesian regularization using a pool of training and validation data.

From this pool of training data, '1u' (1 pair of utterances by 1 speaker), '5u' (5 pairs of utterances by 5 speakers), '10u' (10 pairs of utterances by 10 speakers), and '15u' (15 pairs of utterances by 15 speakers) NN training datasets were created.

Because previous proposals were weakened by lack of evidence, we propose to organize the Cooperative Educational Studies Group, a pool of training programs that will collect a common data set describing their programs, design interventions to be tested rigorously in multi-methodological approaches, and at the same time produce knowledge about high-quality practice.