Kernel methods, particularly Support Vector Machines (SVMs), are powerful tools in machine learning that allow for effective classification and regression tasks. These methods utilize kernel ...

Recent advancements in machine learning, particularly through the use of neural networks and support vector machines (SVM), have significantly enhanced the ability to recognize these patterns ...

The following is a summary of “Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and ...

Machine learning models may be able to identify women with severe subjective cognitive decline (SCD) during the menopause ...

We review the idea of the margin of a classifier, and why that may be a good criterion for measuring a classifier's desirability. Then we consider the computational problem of finding the largest ...

Microsoft is updating its DirectX API to include neural rendering capabilities, representing a significant advancement in ...

In this book we give an introductory overview of this subject. We start with a simple Support Vector Machine for performing binary classification before considering multi-class classification and ...

In this work, we have built two models for the classification purpose. One is based on Support Vector Machines (SVM) and the other is Random Forests (RF). Experimental results show that either ...