Supervised Machine Learning
"Supervised Machine Learning" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of labeled paired input-output training (sample) data.
Descriptor ID |
D000069553
|
MeSH Number(s) |
G17.035.250.500.500 L01.224.050.375.530.500
|
Concept/Terms |
|
Below are MeSH descriptors whose meaning is more general than "Supervised Machine Learning".
Below are MeSH descriptors whose meaning is more specific than "Supervised Machine Learning".
This graph shows the total number of publications written about "Supervised Machine Learning" by people in this website by year, and whether "Supervised Machine Learning" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
Year | Major Topic | Minor Topic | Total |
---|
2017 | 1 | 0 | 1 | 2020 | 0 | 1 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Supervised Machine Learning" by people in Profiles.
-
McInnes G, Dalton R, Sangkuhl K, Whirl-Carrillo M, Lee SB, Tsao PS, Gaedigk A, Altman RB, Woodahl EL. Transfer learning enables prediction of CYP2D6 haplotype function. PLoS Comput Biol. 2020 11; 16(11):e1008399.
-
Hocking TD, Goerner-Potvin P, Morin A, Shao X, Pastinen T, Bourque G. Optimizing ChIP-seq peak detectors using visual labels and supervised machine learning. Bioinformatics. 2017 02 15; 33(4):491-499.
|
People People who have written about this concept. _
Similar Concepts
People who have written about this concept.
_
Top Journals
Top journals in which articles about this concept have been published.
|