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The aim of step ten is to share and employ the results for learning, improvement and/or accountability purposes.
The experimental design employed in this study guarantees the comprehensiveness of the training data sets generated for learning the proposed ANNs using fewer numbers of experiments compared to the previous studies.
The learning algorithm employs heuristic learning strategies for learning each input spike pattern.
The proposed method also employs a Branch-and-Bound technique for learning.
To this end, we employ a gradient descent method similar to the back-propagation algorithm for learning artificial neural networks.
To this end, it has employed data scientists with machine-learning, big data and statistics backgrounds to help it continually improve its data.
Since the HCUP data is highly imbalanced, we employed an ensemble learning approach based on repeated random sub-sampling.
To illustrate the utility of these data for the identification of kinase-substrate relationships, we employed a machine learning approach utilizing SVMs.
NanoNets' API makes it easy for any business to employ machine learning.
Investigators have employed machine learning algorithms for the multivariate analysis of large proteomic data sets derived from cancer prevention trials and human autoimmune disease studies [ 33, 34].
The tool includes anomaly detection and employs machine learning to suggest data transformations that can improve the quality of data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com