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The aim of the present study is to apply Support Vector Regression (SVR) method to predict bed load transport rates for three gravel-bed rivers.
While in previous studies, estimation is performed using classical statistical methods or artificial neural networks, this study proposes to apply support vector regression (SVR) method for construction of a residuals Multivariate Cumulative Sum (MCUSUM) control chart, for monitoring changes in the process mean vector.
Tay and Kao (2001, (2002) apply support vector machines in financial time series forecasting.
We apply Support Vector Machine (SVM) as the classification model, tested with 5-fold cross validation, and prediction accuracy as the measurement metric - the proportion of the correctly classified participants over all tested participants.
We make use of the conditional entropy to select an appropriate subset of the ICA features with superior capability in classification and apply support vector machine (SVM) to recognizing patterns of human and nonhuman.
In all experiments, we apply support vector machines (SVMs) with linear kernel function as implemented in WEKA [25] with sequential minimal optimisation (SMO) as training algorithm, due to their good baseline performance in many related speech emotion recognition studies (cf., e. g., [9] and [8]).
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Deadline for applying support is March 7.
This study investigates how the EU member states have applied support policy types over the last decade.
The applied support performance was investigated at different sections of the tunnel route.
Therefore, applied support system should be within deformation tolerance limits determined by NDSS analysis.
An iterative process of applying support pressure until observing no failure zone around the shaft is used to simulate the required lining support pressure for different shaft models.
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