Exemplos de uso de Support vector em Inglês e suas traduções para o Português
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different support vector machines were built for eucalyptus production prognosis, and these results were compared to those by growth model and artificial neural networks.
The detection is based on support vector machines(svm) with gaussian kernel
Support Vector Machines(SVM) belong to a family of supervised learning algorithms that can efficiently solve classification and regression problems.
The disease? risk is evaluated by classifying patient? s data with a support vector machine model, thenmeasuring the Euclidian distance to the hyperplane decision function.
Version 2016.3 adds support vector machine models, and a free version that activates automatically after the free trial.
We feel that Support Vector Machines have helped us to reach a quality
Version 2016.3 adds support vector machine models and a free version that activates when the trial version is over.
This work aims to evaluate the efficiency of using meta-heuristic strategies in the selection and tuning of these parameters, when support vector machine is applied to brain-computer interface.
decision trees and support vector machines svm.
Vapnik and his colleagues developed the theory of the support vector machine.
Support vector machines are implemented by a Cython wrapper around LIBSVM; logistic regression and linear support vector machines by a similar wrapper around LIBLINEAR.
including support vector machines, Gaussian processes.
kernel methods for text analysis, support vector machines, kernel theory.
in classifying diseases, while support vector machine(SVM) is used in cancer research. Pathway Analysis Methods.
The new objects will be divided into your predefined classes with a support vector machine.
k nearest neighbor's algorithm, and support vector machines2.
artificial neural networks, support vector machines and Bayesian networks were utilized as classification methods.
Regression via support vector machines(svr) is applied when the reliability-related metric(response variable)
The support vector classification(svc) algorithm is a pattern recognition technique,
iv support vector machines, and v k-nearest neighbors.