Sentence examples for cluster training from inspiring English sources

The fuzzy clustering technique is used to initialize the pattern representative (memory cell) for each data pattern and cluster training data into a specified number of patterns.

Protocols with inter-repetition or intra-set rest periods (cluster training) might therefore be more suitable for hypoxic resistance training focus on this topic.

For muscle power resistance training, geared to a neuromuscular goal and avoiding metabolic fatigue, sessions usually combine 4 6 sets of 4 6 repetitions with loads of 0 50% 1RM for ballistic exercises [10] and 3 5 min of rest (sometimes this method includes inter-repetition rests of 10 60 s, cluster training).

In addition, quarterly cluster bulletins, monthly cluster reports and biannual mapping of cluster partners were produced and disseminated widely to improve information sharing while several cluster training workshops were held.

The authors wish to acknowledge the contributions of the programme teams at the Hospital Authority head office, all representatives and clinical staff in the Chronic Disease Management Programmes, and all cluster training coordinators for working with our team in this evaluation study.

In each sampled cluster, trained surveyors interviewed all household members aged 15-49, either 5-8 P.M. on weekdays or during the day on the weekends.

In addition, we use 256 clusters trained from Flickr60k and the Multiroot joint dimensionality reduction to reduce the VLAD representation to 128 dimensions.

For unsupervised learning, k-means clustering, training and classification procedures for supervised and semi-supervised framework are implemented using the MATLAB® (Natick, MA).

The proposal is composed of a workflow with algorithms to process documents, reduce the dimensionality of the data, and to apply/provide clustering, training, and prediction.

And then the mappers in Hadoop clusters start training a number of sub-BPNNs.

Each cluster is trained independently with training and validation sets by ANFIS to obtain the optimal fuzzy inference system.