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The supervised classification algorithm is trained by using the 100-year Flood Insurance Rated Maps (FIRM) from the U.S. Federal Emergency Management Agency (FEMA).
Meanwhile, it makes the cross-domain gaits for different subjects disperse more separately with a large margin by using the supervised similarity matrix.
The machine learning algorithms are made by using the supervised machine learning methods such as artificial neural network model and local linear neuro-fuzzy models.
Thus, prediction of the 1994 BLC6 vectors from their previous 5BLC, by using the supervised W matrix with 1992_93, gave an average <δ_pred> = 1.25, which decreases to 1.11 by smoothing the matrix indicating that it represents better the 1994 test period.
Each 'enriched' signature was further refined by supervised clustering using the human UNC308 breast tumor dataset [ 9] to identify subpopulation 'features', which were defined as having at least ten genes with a Pearson correlation greater than 0.5 across all tumors [ 15, 25].
In our institution, mammograms are evaluated by radiologists and/or (supervised) residents, using the BI-RADS classification for breast density.
Diagnoses were validated at the coordinating center by trained and supervised interviewers using the DIA-X, a standardized diagnostic telephone interview [ 33- 35].
The repeated updated data collected by well-trained and supervised fieldworkers using the same questions and coding, generates data with good individual and population validity and consistency.
Marker data were supervised manually using the GenCall software (Illumina).
Mallapagada et al. proved the performance improvement on the supervised algorithms by using SemiBoost on different datasets, and SemiBoost outperforms the benchmark semi-supervised algorithms [ 38].
It's important that children are supervised and assisted by adults while using the oven.
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