Descriptor English: | Support Vector Machine | ||||||
Descriptor Spanish: |
Máquina de Vectores de Soporte
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Descriptor Portuguese: | Máquina de Vetores de Suporte | ||||||
Descriptor French: | Machine à vecteur de support | ||||||
Entry term(s): |
Machine, Support Vector Machines, Support Vector Network, Support Vector Networks, Support Vector Support Vector Machines Support Vector Network Support Vector Networks Vector Machine, Support Vector Machines, Support Vector Network, Support Vector Networks, Support |
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Tree number(s): |
G17.035.250.500.500.500 L01.224.050.375.530.500.500 |
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RDF Unique Identifier: | https://id.nlm.nih.gov/mesh/D060388 | ||||||
Scope note: | SUPERVISED MACHINE LEARNING algorithm which learns to assign labels to objects from a set of training examples. Examples are learning to recognize fraudulent credit card activity by examining hundreds or thousands of fraudulent and non-fraudulent credit card activity, or learning to make disease diagnosis or prognosis based on automatic classification of microarray gene expression profiles drawn from hundreds or thousands of samples. |
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Allowable Qualifiers: |
CL classification EC economics ES ethics HI history LJ legislation & jurisprudence SD supply & distribution SN statistics & numerical data ST standards TD trends |
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Previous Indexing: |
Pattern Recognition, Automated (1998-2011) |
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Public MeSH Note: | 2012 |
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History Note: | 2012 |
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DeCS ID: | 54835 | ||||||
Unique ID: | D060388 | ||||||
Documents indexed in the Virtual Health Library (VHL): | Click here to access the VHL documents | ||||||
Date Established: | 2012/01/01 | ||||||
Date of Entry: | 2011/06/24 | ||||||
Revision Date: | 2017/07/03 |
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PHENOMENA AND PROCESSES
Mathematical Concepts [G17]Mathematical Concepts -
INFORMATION SCIENCE
Information Science [L01]Information Science
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Support Vector Machine
- Preferred
Support Vector Network
- Broader
Concept UI |
M000606098 |
Scope note | SUPERVISED MACHINE LEARNING algorithm which learns to assign labels to objects from a set of training examples. Examples are learning to recognize fraudulent credit card activity by examining hundreds or thousands of fraudulent and non-fraudulent credit card activity, or learning to make disease diagnosis or prognosis based on automatic classification of microarray gene expression profiles drawn from hundreds or thousands of samples. |
Preferred term | Support Vector Machine |
Entry term(s) |
Machine, Support Vector Machines, Support Vector Support Vector Machines Vector Machine, Support Vector Machines, Support |
Concept UI |
M000606099 |
Preferred term | Support Vector Network |
Entry term(s) |
Network, Support Vector Networks, Support Vector Support Vector Networks Vector Network, Support Vector Networks, Support |
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