Scientific Research Publishing

Awad, M. and Khanna, R. (2015) Support Vector Regression. In: Awad, M. and Khanna, R., Eds., Efficient Learning Machines, Apress, 67-80.

ABSTRACT: Forecasting future expected returns out-of-sample is challenging due to some statistical characteristics, such as the stochastic and dynamic nature in the time series. Conventional machine ...
Scientific Research Publishing

Chen, N., Lu, W., Yang, J. and Li, G. (2004) Support Vector Machine in Chemistry. World Scientific.

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...
Visual Studio Magazine

Linear Support Vector Regression Using C# with Particle Swarm Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Visual Studio Magazine

Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
IEEE

Two Support Vector Machine Regression Models for Quality Variation Prediction

Abstract: In this paper, two support vector machine regression models for quality variation were put forward. Through two quality variation prediction cases, based on ...
IEEE

Least squares support vector machine regression with boundary condition

Abstract: Regression plays an important role in signal processing, identifying and modeling. This paper proposes a regression algorithm based on least squares support vector machine. In the algorithm, ...