Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Abstract: We present a cooperative approach using both support vector machine (SVM) algorithms and visualization methods. SVM are widely used today and often give high quality results, but they are ...

Automated external defibrillators (AEDs) and implantable cardioverter defibrillators (ICDs) are used to treat life-threatening arrhythmias. AEDs and ICDs use shock advice algorithms to classify ECG ...

1 Department of Statistics, Truman State University, Kirksville, MO, USA. 2 Department of Physics, Virginia Union University, Richmond, VA, USA. 3 Department of ...

Rodents engage in active touch using their facial whiskers: they explore their environment by making rapid back-and-forth movements. The fast nature of whisker movements, during which whiskers often ...

Figure 1. Supervised, unsupervised, and reinforcement learning. Machine learning tasks are categorized into supervised, unsupervised, or reinforcement learning. Supervised learning is used for ...

There are many factors influencing personal credit. We introduce Lasso technique to personal credit evaluation, and establish Lasso-logistic, Lasso-SVM and Group lasso-logistic models respectively.

Your browser does not support the audio element. Machine learning is part art and part science. When you look at machine learning algorithms, there is no one solution ...

Abstract: The correntropy-induced loss (C-loss) function has the nice property of being robust to outliers. In this paper, we study the C-loss kernel classifier with the Tikhonov regularization term, ...