support vector machine
- noun
- /səˈpɔrt ˈvɛktər məˈʃin/
- Specialized
:
máquina de vectores de soporte
- Many approaches have recently been applied to tackle this challenge, adopting different methodologies like, for instance, support vector machines, naive Bayes classifiers, and logistic regression.
- support vector machine (SVM)
Examples
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In this study, we constructed a multi-miRNA signature and used the algorithm of a linear support vector machine for classification tasks.
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The connectivity patterns, correlation values of 4,005 pairs of anatomical regions, were used as features in a support vector machine (SVM) classifier (see Text S1).
Blog text (4) -
All right, so let's go ahead and apply this to our support vector machine dual optimization problem, right?
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In this study, we constructed a multi-miRNA signature and used the algorithm of a linear support vector machine.
Blog text (18) -
For computational efficiency, we build on an additional detection module using an online support vector machine (SVM).
Academic text (2018) -
We compared the six NN system architectures (Sect. 4.1) with traditional models: NBC, support vector machine (SVM), and HMM, with respect to accuracy and generalizability.
Academic text (2018) -
Specifically, for the case of the linear support vector machine (where L is the so-called hinge loss), the regularized optimization problem is equivalent to the following robust optimization problem.
Academic text (2017) -
Thematic Mapper images (Path 169, Row 76/77) courtesy of the USGS were classified using a support vector machine classification with ENVI software.
Academic text (2018) -
Thematic Mapper images were classified using a support vector machine classification with specialized software.
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Classification using support vector machine is a widely adopted method for separating data points into different categories.
Synonyms
1
9.5
A computer method that learns from examples to sort or predict information
A computer method that finds a clear boundary to separate different groups of data
How Complex
Surface Forms
Morphology
The term names a specific technical algorithm whose meaning (finding an optimal separating hyperplane using support vectors in feature space) cannot be inferred from the everyday senses of 'support', 'vector', and 'machine'. Although the constituent words are individually comprehensible, their combination encodes a specialized, domain-specific concept rather than a predictable compositional meaning, so a B1 learner who knows the words would not reliably understand the MWE.
Etymology
Support vector machine comes from a simple picture: a machine draws a dividing 'line' between groups, and only the points nearest that line—the support points—hold the line in place. Here vector just means a point with direction, so the name shows it is a method that uses those special points to decide which group new 'data' belongs to.