Abstract: In this paper, the performance of different SVM kernel functions (Polynomial, Linear and Gaussian) for modelling electricity and hydrogen production in the gas turbine cycle ...

Microsoft yesterday announced the general availability of Semantic Kernel for Python and Java, advancing the open source AI integration SDK that is a key component of the company's Copilot stack of AI ...

Abstract: The excellent generalisation ability of the Support Vector Machine (SVM) algorithm has made it one of the most popular statistical learning theories in supervised machine learning. The ...

Breast cancer is a common malignant disease in breast tissue. In 2020, more than 2.26 million people were diagnosed with the disease and about 685 thousand people were killed by it (Sung et al., 2021) ...

ABSTRACT: In machines learning problems, Support Vector Machine is a method of classification. For non-linearly separable data, kernel functions are a basic ingredient in the SVM technic. In this ...

This code reads a dataset i.e, "Heart.csv". Preprocessing of dataset is done and we divide the dataset into training and testing datasets. Linear, rbf and Polynomial kernel SVC are applied and ...

1 Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA 2 Department of Psychology, University of California, Berkeley, Berkeley, CA, USA In this article we ...