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Although these studies have shown the advantages of AI-based approaches for induction motor fault diagnosis, most of these approaches are based on supervised learning, in which high quality training data with good coverage of true failure conditions are required to perform model training [15].
In contrast, our approach is based on supervised machine learning.
Context recognition algorithms based on supervised and unsupervised learning methods primarily use probabilistic and statistical reasoning.
The present network learned by back-propagation algorithm is based on supervised procedure.
The process itself relies purely on the tweet (text) which is segmented based on supervised learning.
Our method consists in providing connections based on supervised retrieval of domain-specific expressions.
Structure determination based on supervised learning is an important issue in pattern classification.
We thus propose approaches for automated decision-making based on supervised and reinforcement learning.
The proposal is based on supervised learning using topological representations for the environment.
Unlike traditional PCA, both MPCA and LDA are based on supervised learning that makes use of given class labels.
Here, we employ classifiers that are based on supervised machine leaning, where a training set is applied for each classifier.
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