We propose a Hybrid Quantum Classical Algorithm (HQCA) for image classification using a Quantum Kernel which is efficient to produce than a traditional kernel for performing the kernel trick required ...

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

We developed and implemented GF to improve SVM classification kernel functions and used it to classify lung cancer. Classification performance evaluations and comparisons between the authors' GFS ...

Abstract: Recently, with the existence of internet we have witnessed great development in computer systems. Artificial intelligence means to developing computer systems that able to perform ...

The structure of this paper is as follows: The second section introduces the gait phase classification system, gait information acquisition device, data preprocessing, and the neural network model for ...

Abstract In this paper, sixty-eight research articles published between 2000 and 2017 as well as textbooks which employed four classification algorithms: K-Nearest-Neighbor (KNN), Support Vector ...

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 ...