kernel regression context, we derive the limit distribution of the SIMEX estimate. With the regression spline technique, two … different methods of estimations are used. The first method is the SIMEX algorithm which attempts to estimate the bias, and …

quality can be minimized using the local polynomial Simulation-Extrapolation (SIMEX) estimator. Evidence is provided by a …

China is presented. Support vector machine (SVM) model for GPS level conversion in the mining area is established, and a … comparative analysis of SVM, BP neural network and polynomial established local quasi-geoid in the mining area is conducted …-geoid established by using SVM model features a relatively high level of stability and accuracy and that the established mining surface …

three models: (i) persistence model, (ii) feed-forward neural network (FFNN) model, and (iii) support vector machine (SVM … principal component analysis (PCA). Parameters of FFNN and SVM models were determined by sensitivity analysis. All the three … forecasting of stage and discharge over a longer time frame by the SVM model is more accurate than that by the other two models …

Mining DM classifiers (Support Vector Machine (SVM)) classifier and Naïve Bayesian (NB) Classifier) are used to build and … of features that have been resulted from these two measures and the all features set will be the feeding of both SVM and … NB. The results obtained from executing the proposed model showing that SVM classifier accuracy rate is generally higher …

three different hybrid models combining linear ARIMA and non-linear models such as support vector machines (SVM), artificial … neural network (ANN) and random forest (RF) models to predict the stock index returns. The performance of ARIMA-SVM, ARIMA …-ANN and ARIMA-RF are compared with performance of ARIMA, SVM, ANN and RF models. The various competing models are evaluated in …