Abstract: The research examines the Support Vector Machines (SVM) and K-Nearest Neighbor (KNN) machine learning algorithms with the goal of using machine learning to detect malware and mitigate ...

ABSTRACT: The manuscript presents an augmented Lagrangian—fast projected gradient method (ALFPGM) with an improved scheme of working set selection, pWSS, a decomposition based algorithm for training ...

Proof of concept of a simple SVM Region Classifier using PdfPig and Accord.Net. The objective is to classify each text block in a pdf document page as either title, text, list, table and image. Easy ...

Project to Solve a SVM fitting problem in MATLAB using a consensus distributed ADMM approach and CVX. Two SMW has been trained and tested on different datasets.

1 Faculty of Computing, Botho University-Maseru Campus, Maseru, Lesotho. 2 Department of Physics and Electronics, National University of Lesotho, Roma, Lesotho. Classical machine learning, which is at ...

There’s a huge buzz around the marvels of machine learning, but computers are only as good as the biased data we feed them The tech craze du jour is machine learning (ML). Billions of dollars of ...