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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].
Based on supervised learning, we previously have developed a reference-guided fusion model called MCCAR + jICA26.
Structure determination based on supervised learning is an important issue in pattern classification.
The proposal is based on supervised learning using topological representations for the environment.
The main contribution of this paper is to introduce a general methodology for practical and efficient characterization and reconstruction of stochastic microstructures based on supervised learning.
In this work, we first propose an approach based on supervised learning to classify the pose of a mobile robot into semantic classes.
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The event extraction system is based on supervised machine learning, i.e. it performs predictions for unknown cases based on a model automatically learned from manually annotated training data, here derived from that provided in the BioNLP'09 Shared Task.
Automatic emotion recognition systems based on supervised machine learning require reliable annotation of affective behaviours to build useful models.
Using the UDM design points as input/output patterns, an Artificial Neural Network (ANN) is developed based on supervised evolutionary learning.
Then based on supervised machine learning algorithms, they developed a new method, which they call Episcore, to predict haploinsufficiency from epigenomic data representing a broad range of tissue and cell types.
In contrast, our approach is based on supervised machine learning.
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based on supervised trial
based on supervised discrimination
based on social learning
based on observational learning
based on statistical learning
based on probabilistic learning
based on incremental learning
based on supervised feature
based on deep learning
based on supervised machine
based on supervised procedure
based on adaptive learning
based on specific learning
based on individual learning
based on supervised clustering
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