This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The goal is to ...

Support Vector Machine (SVM) is one of the supervised machine learning algorithms which can be used for either classification or regression. Among the various supervised learning algorithms, SVM is ...

Drug targets are biological macromolecules or biomolecule structures capable of specifically binding a therapeutic effect with a particular drug or regulating physiological functions. Due to the ...

Abstract: In this work, an EMG-based signal implemented through a Python programming methodology classifier is presented. The developed system is based on the flexor digitorum profundus muscle signals ...

Abstract: Handwritten digit recognition technology refers to the automatic identification of handwritten numbers through computers or other equipment, and it has a greater application prospect in ...

When you enter the Machine Learning dimension, it is highly likely that one of the first classifier algorithms you might come across is SVM, you will find that SVM is all over the place. SVM which ...

A support vector machine (SVM) is a software system that can perform binary classification. For example, you can use an SVM to create a model that predicts the sex of a person (male, female) based on ...

is one of the most sought-after technologies in the field of machine learning. In recent times, the use cases for this technology have broadened from specific surveillance applications in government ...