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An input continuous-wave probe beam is compressed to ultrashort pulse train based on self-phase modulation effect and chirp compensation using single mode fiber.
Our results showed that one important constraint of any ensemble (based on self-training or co-training) is to maintain diversity of the ensemble's subclassifiers, by augmenting the labeled subsets of subclassifiers with unique newly labeled instances.
In Methods, we describe our approaches, namely the semi-supervised learning ensembles based on self-training and co-training.
The ensemble based on self-training, STEP, is more sensitive and was deteriorated by the unlabeled data beginning with Experiment 1-to-10.
In general, our results show that ensembles based on self-training are surpassed by the ensembles based on co-training, a trend that has been reported many times in the literature for single classifiers, e.g., in the prediction of alternatively spliced exons [ 3], or text classification [ 5].
This version of GeneMark program is based on self-training algorithm for prediction of genes from novel eukaryotic genomes.
As aforementioned, we stratified respondents and their respective units into trained versus non-trained units based on self-reporting of training.
He and his colleagues employ training techniques based on Self Determination Theory.
Study nurses' training was based on self regulation theory (box 2; further details available from corresponding author).
Resilience is based on self confidence.
Training was based on self-management education and was to be performed during working hours.
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