 Unsupervised Machine Learning
"Unsupervised 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 unlabeled paired input-output training (sample) data.
| Descriptor ID |
D000069558
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| MeSH Number(s) |
G17.035.250.500.750 L01.224.050.375.530.750
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Unsupervised Machine Learning".
Below are MeSH descriptors whose meaning is more specific than "Unsupervised Machine Learning".
This graph shows the total number of publications written about "Unsupervised Machine Learning" by people in this website by year, and whether "Unsupervised 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 |
|---|
| 2015 | 0 | 2 | 2 | | 2018 | 1 | 1 | 2 | | 2019 | 0 | 1 | 1 |
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Below are the most recent publications written about "Unsupervised Machine Learning" by people in Profiles.
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Taroni JN, Grayson PC, Hu Q, Eddy S, Kretzler M, Merkel PA, Greene CS. MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease. Cell Syst. 2019 05 22; 8(5):380-394.e4.
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Lusk R, Saba LM, Vanderlinden LA, Zidek V, Silhavy J, Pravenec M, Hoffman PL, Tabakoff B. Unsupervised, Statistically Based Systems Biology Approach for Unraveling the Genetics of Complex Traits: A Demonstration with Ethanol Metabolism. Alcohol Clin Exp Res. 2018 07; 42(7):1177-1191.
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Way GP, Greene CS. Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders. Pac Symp Biocomput. 2018; 23:80-91.
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Ross J, Neylan T, Weiner M, Chao L, Samuelson K, Sim I. Towards Constructing a New Taxonomy for Psychiatry Using Self-reported Symptoms. Stud Health Technol Inform. 2015; 216:736-40.
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Tan J, Ung M, Cheng C, Greene CS. Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders. Pac Symp Biocomput. 2015; 132-43.
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