The diagram in Figure 2 gives you a rough idea of support vector regression for a scenario where there is just one predictor variable x. Each dot is a training data item. The red line is the linear ...

[4] This paper proposes a new model to detect DDoS attacks in SDN based on SVM . Firstly a trained Support Vector Machine (SVM) approach is used by the model to extract numerous important features ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Torre had to leave ESPN to carve out a spot in the media landscape that fits him, mixing the silly — even the salacious — with the smart.

Abstract: In this study, a combination of Smooth Vector Support Machine (SSVM) and the Nguyen Widrow Back propagation algorithm is performed. For many data one of the weaknesses of the SSVM algorithm ...

“The NIH is building the first NIH AI strategic plan, which will guide AI research funding initiatives in healthcare for years to come across the entire agency,” Memoli said.

At present times, Customer Churn Prediction (CCP) becomes a familiar research area and is mainly solved by the use of machine learning models. The advancements in Internet of Things (IoT) and cloud ...

Multitarget agents have been increasingly explored for enhancing efficacy and reducing countertarget activities and toxicities. Efficient virtual screening (VS) tools for searching selective ...