Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines

Discover the innovative world of machine learning with "Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines," authored by experts in the field and published by Springer Verlag in 2024. This comprehensive paperback edition spans 305 pages, offering a deep dive into support vector algorithms from multiple perspectives. Readers will explore the mathematical foundations, the unique properties of various kernel functions, and a range of practical applications. Whether you are a seasoned professional or a newcomer to the field, this book provides valuable insights that enhance your understanding of support vector machines. Elevate your knowledge and skills in machine learning with this essential resource.