| 書(shū)目名稱 | Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines | | 副標(biāo)題 | Theory, Algorithms a | | 編輯 | Jamal Amani Rad,Kourosh Parand,Snehashish Chakrave | | 視頻video | http://file.papertrans.cn/584/583023/583023.mp4 | | 概述 | Introduces new fractional orthogonal kernels for support vector algorithms.Includes a Python package for utilizing the presented fractional orthogonal kernels.Contains examples that provide a deep int | | 叢書(shū)名稱 | Industrial and Applied Mathematics | | 圖書(shū)封面 |  | | 描述 | .This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel functions—Chebyshev, Legendre, Gegenbauer, and Jacobi—are reviewed in some chapters. Moreover, the fractional form of these kernel functions is introduced in the same chapters, and for ease of use for these kernel functions, a tutorial on a Python package named ORSVM is presented. The book also exhibits a variety of applications for support vector algorithms, and in addition to the classification, these algorithms along with the introduced kernel functions are utilized for solving ordinary, partial, integro, and fractional differential equations...On the other hand, nowadays, the real-time and big data applications of support vector algorithms are growing. Consequently, the Compute Unified Device Architecture (CUDA) parallelizing the procedure of support vector algorithms based on orthogonal kernel functions is presented. The book sheds light on how to use support vector algorithms base | | 出版日期 | Book 2023 | | 關(guān)鍵詞 | support vector machine; kernel; fractional; orthogonal function; pattern recognition | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-19-6553-1 | | isbn_softcover | 978-981-19-6555-5 | | isbn_ebook | 978-981-19-6553-1Series ISSN 2364-6837 Series E-ISSN 2364-6845 | | issn_series | 2364-6837 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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