Abstract: An analog neural network for support vector machine learning is proposed, based on a partially dual formulation of the quadratic programming problem. It results in a simpler circuit ...

Motor neuroprosthetics research has focused on reproducing natural limb motions by correlating firing rates of cortical neurons to continuous movement parameters. We propose an alternative system ...

An introduction to support vector machines : and other kernel-based learning methods by Cristianini, Nello. Publication date 2000 Topics Support vector machines, Kernel functions Publisher Cambridge ; ...

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

In this work, we propose an extension of the classical Support Vector Machine (SVM) called variable projection support vector machine (VP-SVM) in Ref. 20. In particular, we extended the primal form of ...

We evaluated support vector machines (SVM) as a virtual screening tool for searching Abl inhibitors from large compound libraries. SVM trained and tested by 708 inhibitors and 65 494 putative ...