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To evaluate the correlation of the presence of predicted motifs with upregulation of genes, we used a classification algorithm by Support Vector Machine (SVM; Joachims 1999).
To identify groups of cytokines that allow the distinction of potential outcomes in patients with early arthritis, we used a classification algorithm termed Random Forest [ 17, 18].
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The distinction between buyer-initiated and seller-initiated trades is straightforward, without the need to use a classification algorithm.
First, we use a noise reduction filter using mathematical morphology, and next we use a classification algorithm such as the maximum likelihood classification method with the filtered image.
This study tests the ability of Raman spectroscopy to accurately identify cryopreserved tissue specimens using a classification algorithm designed from fresh tumor data and vice versa.
In these orthophotos, visible points of electrical lines, e.g. sockets or switches, are detected using a classification algorithm that has been pre-trained on a set of exemplar images of sockets and switches.
It is then possible to use a classification algorithm from scikit-learn to label pixels (a segmentation task) or to classify whole images or objects that have already been segmented.
To use a classification algorithm such as decision trees (Quinlan, 1986), 2 k + 2 bubble edge attributes were used to create a vector of values describing each bubble.
In order to engineer an effective real-time clinical decision support system, we should use a classification algorithm that can analyse data efficiently and accurately.
Observations with known labels are used to train a classification algorithm or classifier using features associated with the observation.
Quantitative statistical features were calculated from images, assessed with one-way ANOVA, and were used to develop a classification algorithm with the goal of objectively discriminating between normal and metastatic tissue.
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