One of the main reasons is that many loss functions are too sensitive to sample points far from their classes. In this paper, ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

The theoretical basis for usage of time-frequency transformations was presented, as well as the principle of operation of the Cubic SVM algorithm for classification tasks.

To solve this problem, a privacy preserving support vector machine (SVM) algorithm under differential privacy for multiple classification is proposed in the paper. The algorithm disturbs the kernel ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

This repository contains a Python implementation of a quantum classifier using the QSVM method for classifying the Iris dataset. The code demonstrates how to train and evaluate a quantum classifier ...

These authors contributed equally to this work.