Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Microsoft’s monthly update included 206 fixes for flaws in everything from Windows to Office to Exchange Server, not to mention three zero-days.

Abstract: Support vector machines (SVMs) have been very successful in pattern recognition and function estimation problems for crisp data. This paper proposes a new method to evaluate interval linear ...

Broadcasting plays an important role in offshore information transmission because of its stability and long-distance propagation characteristics. To improve propagation prediction in the offshore ...

Bipolar lead-acid batteries offer advantages over traditional valve-regulated lead-acid batteries including compact design, shorter current path, better active mass utilization, and higher power ...

Abstract: Support vector machines (SVMs) have been very successful in pattern classification and function approximation problems for crisp data. In this paper, we incorporate the concept of fuzzy set ...

Accurate cost estimation at the early stage of a construction project is key factor in a project’s success. But it is difficult to quickly and accurately estimate construction costs at the planning ...

A few years ago I decided to take on a personal project to predict horse racing results. When I started, I didn’t really know exactly what the end goal of the project was suppose to be. My primary ...

This package performs support vectors analysis for data sets with survival outcome. Three approaches are available in the package: The regression approach takes censoring into account when formulating ...

Faculty of Technology, Department of Process and Environmental Engineering, Biomaterials and Transport Phenomena Laboratory (LBMPT), University of Yahia Fares, Medea 26000, Algeria Article Views are ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...