Spatio-temporal avalanche forecasting with Support Vector Machines

Semi-Supervised Support Vector Machine for Natural Hazards Forecasting. Case Study: Snow Avalanches

This paper explores the use of Support Vector Machine (SVM) as a predictive engine for natural hazards forecasting. It particularly discusses the issues of incorporating this classification method into a decision-support system for operational use in avalanche forecasting. The recent developments concerned with semi-supervised and transductive SVM-based learning targeted at applications in natu...

Spatio-temporal feature selection for black-box weather forecasting

In this paper, a data-driven modeling technique is proposed for temperature forecasting. Due to the high dimensionality, LASSO is used as feature selection approach. Considering spatio-temporal structure of the weather dataset, first LASSO is applied in a spatial and temporal scenario, independently. Next, a feature is included in the model if it is selected by both. Finally, Least Squares Supp...

The Support Vector Machine for Nonlinear Spatio-Temporal Regression

Due to the increasingly demand for spatio-temporal analysis, time series and spatial statistics are extended to the spatial dimension and the temporal dimension respectively or they are combined via linear regression. However, such linear regression is just a simplification of complicated spatio-temporal associations existing in complex geographical phenomena. In this study, the Support Vector ...

Analysis, Modeling and Spatio-Temporal Prediction of Avalanches Using Support Vector Machines

A Comparative Study of Extreme Learning Machines and Support Vector Machines in Prediction of Sediment Transport in Open Channels

The limiting velocity in open channels to prevent long-term sedimentation is predicted in this paper using a powerful soft computing technique known as Extreme Learning Machines (ELM). The ELM is a single Layer Feed-forward Neural Network (SLFNN) with a high level of training speed. The dimensionless parameter of limiting velocity which is known as the densimetric Froude number (Fr) is predicte...