Support vector regression/machine
Optimization of Filter by using Support Vector Regression Machine with Cuckoo Search Algorithm
... 2 Dept. of Electronics and Communication Engineering, Yıldız Technical University, Turkey 3 Dept. of Electronics and Communication Engineering, Süleyman Demirel University, Turkey [email protected], ...
8
How To Predict Cyanotoxins From A Model Using Machine Learning And Support Vector Regression
... hand, support vector regression (SVR) is a novel learning technique based on statistical learning theory and the structural risk minimization principle, which has been successfully used for nonlinear ...
10
An Efficient Twin Projection Support Vector Machine for Regression
... twin support vector regression (ɛ-TSVR) and the projection idea, this paper proposes a novel ɛ-twin projection support vector regression models, called ...the regression ...
5
Support Vector Machine and Its Application to Regression and Classification
... ABSTRACT Support Vector machine is currently a hot topic in the statistical learning area and is now widely used in data classification and regression ...for support vector ...
64
SUPPORT VECTOR MACHINE FOR REGRESSION AND APPLICATIONS TO FINANCIAL FORECASTING
... margin support vector regression will be explained and finally, the nonlinear case will be ...-insensitive support vector regression will be used for predicting stock ...
6
Supplier selection with support vector regression and twin support vector regression
... Recently, support vector machine has received much more attention from researchers, while studies on supplier selection based on it are ...the support vector regression (SVR) and ...
13
Digital terrain model height estimation using support vector machine regression
... technical report. Southamption: University of Southampton; 1998. 8. Basak D, Pal S, Patranabis DC. Support vector regression. Neural Inform Process Lett Rev. 2007;11:203–224. 9. Drucker H, Burges ...
5
Support Vector Machine and Least Square Support Vector Machine Stock Forecasting Models
... the Support Vector Machine and Least Square Support Vector Machine models in stock ...(GARCH), Support Vector Regression (SVR) and Least Square ...
10
Nonstationary regression with support vector machines
... the Support Vector Machine (SVM) [11] to regression prob- lems, usually called Support Vector Regression (SVR) [12], is a powerful modelling method with a strong ...
15
Bearing Health monitoring based on Hilbert-Huang Transform, Support Vector Machine and Regression.
... the support vector machine and the support vector regression for the monitoring of ball ...called support vector machine and the fault diagnostic is given by ...
12
Regression depth and support vector machine
... the regression depth approach is useful for binary regression models to check whether the maximum likelihood estimate for the parameter vec- tor exists and how many data points are necessary to guarantee ...
16
Sales Forecasting using Linear Regression and Support Vector Machine
... executing machine learning models that run automatically and present a monthly or quarterly forecast of a customer's sales metric ...SVM Support Vector Machine (SVM using Java), Tree based ...
7
A confidence predictor for logD using conformal regression and a support-vector machine
... a support-vector machine with a linear kernel using conformal prediction methodology, outputting prediction intervals at a specified confidence ...
10
Application of Least Squares Support Vector Machine for Regression to Reliability Analysis
... square support vector machine for regression (LSSVR) into the reliability analysis and puts forward LSSVR-based MCS (LSSVR-MCS) reliability analysis method, and contrasts the time consumption ...
7
Support Vector Machine
... One third setting that’s of interest is if n is small but m is large. So n again maybe in the range from 1 upto 1000, or could be larger, but m is, maybe 50000 and greater, upto millions. You have a very, very large ...
28
Support Vector Ordinal Regression
... ordinal regression problems in the domain of machine ...a regression tree learner in this ...ordinal regression problem into a set of binary classification ...ordinal regression problem ...
29
Application of Support Vector Machine Regression for Predicting Critical Responses of Flexible Pavements
... of Support Vector Machine (SVM) regression in order to analysis flexible ...the support vector machine regression was used to predict these two critical ...
11
Prediction of Tanzanian Energy Demand using Support Vector Machine for Regression (SVR)
... Notwithstanding its extremely vivacious importance to all human activities and life in general, energy prediction studies using the machine learning approach in the developing countries like Tanzania has not been ...
6
Improving the vector auto regression technique for time-series link prediction by using support vector machine
... For a more detailed discussion, refer to [8]. 2.2 SVM and Imbalanced Datasets Support Vector Machine (SVM) is a well-known learning model that is used mainly for classification and regression ...
6
Seeking gene relationships in gene expression data using support vector machine regression
... We used mySVM [6] for SVM regression. Once the training data were formed, the target data were assigned either ran- domly or in a predetermined manner, depending on the search scenario used. The predicted results ...
8