This book discusses machine learning algorithms, such as artificial neural networks of
different architectures, statistical learning theory, and Support Vector Machines used for the …

Support vector machines (SVM) is a new machine learning approach based on statistical
learning theory (Vapnik-Chervonenkis theory). VC theory has a solid mathematical …

The present paper deals with novel developments and application of Support Vector
Machines (Support Vector Classifier SVC and Support Vector Regression SVR) for the …

The present work deals with the first application of Support Vector Regression (SVR) for the
spatial data map**. SVR is a recent development of the Statistical Learning Theory …

Retail electricity tariffs represent how electric utilities charge their customers for the electricity
they consume. They consist of several types of monetary charges: consumption-based …

ENVIRONMENTAL DATA MAPPING WITH SUPPORT VECTOR REGRESSION AND
GEOSTATISTICS Page 1 June 2000 Submitted to ICONIP 2000 ENVIRONMENTAL DATA …

Shared mobility systems have been recently tested and piloted in many cities across the
globe, with great potentials to be deeply woven into the fabric of future urban planning …

Machines (Support Vector Classifier SVC and Support Vector Regression SVR) for the
analysis and modeling of spatially distributed environmental and pollution information …

Support Vector Machines (SVM) is a new machine learning approach based on Statistical
Learning Theory (Vapnik-Chervonenkis or VC-theory). VC-theory has a solid mathematical …

ABSTRACT Recently, kernel-based Machine Learning methods have gained great
popularity in many data analysis and data mining fields: pattern recognition, biocomputing …