support vector machine
collocation in Englishmeaningsofsupport,vectorandmachine
These words are often used together. Click on the links below to explore the meanings. Or,see other collocations withmachineorvector.
support
noun
uk/səˈpɔːt/us/səˈpɔːrt/
agreement with and encouragement for an idea, group, ...
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vector
noun[C]
uk/ˈvek.tər/us/ˈvek.tɚ/
physics
something physical such as a force that has size ...
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machine
noun[C]
uk/məˈʃiːn/us/məˈʃiːn/
a piece of equipment with several moving parts that uses power to do a particular type ...
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(Definition ofsupport,vectorandmachinefrom theCambridge English Dictionary© Cambridge University Press)
Examplesofsupport vector machine
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
Predicting protein secondary structure by a supportvectormachinebased on a new coding scheme.
From theCambridge English Corpus
A supportvectormachineis trained to determine the optimal geometry of individual modules of a space frame structure given a specified load condition.
From theCambridge English Corpus
Supportvectormachineactive learning with applications to text classification.
From theCambridge English Corpus
Classification is driven by a supportvectormachineusing a series of time-independent acoustic features that act like a fingerprint.
From
Wikipedia
This is a connection to support vector machines.
From theCambridge English Corpus
The performance of two classification algorithms for color, texture, and range features are presented based on maximum likelihood estimation and support vector machines.
From theCambridge English Corpus
Inductive machine learning of microstructures: estimating a finite element optimisation using support vector machines.
From theCambridge English Corpus
Two classification algorithms for color, texture, and range features were presented based on maximum likelihood estimation and support vector machines.
From theCambridge English Corpus
Labeled pseudo-projective g dependency parsing with support vector machines.
From theCambridge English Corpus
The author starts with an introduction to linear discriminants, covers logistic discriminants and then concludes the chapter with an introduction to support vector machines.
From theCambridge English Corpus
Knowledge-based analysis of microarray gene expression data by using support vector machines.
From theCambridge English Corpus
By contrast, kernel methods such as the supportvectormachinecompute a fixed transformation of their inputs by means of a kernel function, and do not perform feature "learning".
From
Wikipedia
There are also classification algorithms based on adaptive multivariate regression splines, neural networks, support vector machines, and regularization networks.
From theCambridge English Corpus
The following learning method can be any of the already mentioned machine learning methods, e.g. support vector machines.
From
Wikipedia
This research involved the development and comparison of different computational modelling methods including artificial neural networks, support vector machines, random forests and logistical regression.
From
Wikipedia
With appropriate preprocessing, it is competitive in this domain with more advanced methods including support vector machines.
From
Wikipedia
Support vector machines have proven particularly useful for predicting the locations of turns, which are difficult to identify with statistical methods.
From
Wikipedia
Lesion-specific coronary artery calcium quantification for predicting cardiac event with multiple instance support vector machines.
From
Wikipedia
The order of expression evaluation is not specified in order to allow for optimization on parallel and vector machines.
From
Wikipedia
A typical data mining based prediction uses e.g. support vector machines, decision trees, neural networks for inducing a predictive learning model.
From
Wikipedia
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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