Abstract: The classification is the technique which can classify the data into certain number of classes according to input data. The sentiment analysis is the terms which is used to analyze ...

This project was inspired by Y. Tang's Deep Learning using Linear Support Vector Machines (2013). The full paper on this project may be read at arXiv.org. The experiments were conducted on a laptop ...

The full paper may be read at arXiv.org. For instance, use the CNN-SVM model. $ cd malware-classification $ python3 main.py --model 1 --dataset ./dataset/malimg.npz --num_epochs 100 ...

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 ...

Binary classification algorithms are essential for achieving high accuracy in modelling. Support Vector Machines are popular among data scientists for binary classification tasks. One-vs-Rest and ...

1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...

Polystyrene binding peptides (PSBPs) play a key role in the immobilization process. The correct identification of PSBPs is the first step of all related works. In this paper, we proposed a novel ...

Abstract: In the field of machine learning, many supervised and unsupervised methods have been developed to develop an effective and efficient Intrusion Detection System (IDS). However, a ...