GitHub

PLSSVM - Parallel Least Squares Support Vector Machine

A Support Vector Machine (SVM) is a supervised machine learning model. In its basic form SVMs are used for binary classification tasks. Their fundamental idea is to learn a hyperplane which separates ...
GitHub

Skyline Extraction using Shallow Learning

The shallow learning part of the code depends on Python and OpenCV. It has been tested in conda virtual environment with Python 3.6.10 and OpenCV 4.3.0. Whereas the dynamic programming part of the ...
IEEE

Implementation of ML Algorithm for Spyware Detection System Using SVM with KNN Algorithm for Comparison of Accuracy

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 ...
C&EN

ToxTeller: Predicting Peptide Toxicity Using Four Different Machine Learning Approaches

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Examining the toxicity of peptides is essential for therapeutic peptide-based drug ...
Analytics India Magazine

Guide To PyOD: A Python Toolkit For Outlier Detection

PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...
Frontiers

Applications of Support Vector Machine in Genomic Prediction in Pig and Maize Populations

Genomic prediction (GP) has revolutionized animal and plant breeding. However, better statistical models that can improve the accuracy of GP are required. For this reason, in this study, we explored ...