neoplasm
发表于 2025-3-26 23:31:01
Kamireddy Manohar,Vijayasri Bolisetti,Sanjeev Kumarhe work also discusses another popular linear classifier, the perceptron, and compares its performance with that of the SVM in different application areas.>.978-3-319-41062-3978-3-319-41063-0Series ISSN 2191-5768 Series E-ISSN 2191-5776
不成比例
发表于 2025-3-27 04:07:31
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facetious
发表于 2025-3-27 08:02:46
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Malcontent
发表于 2025-3-27 10:08:23
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FEMUR
发表于 2025-3-27 17:05:13
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Cpr951
发表于 2025-3-27 21:22:38
Kuldeep Narayan Tripathi,Gourav Jain,Ashish Mohan Yadav,S. C. Sharmais to explain the principles that made support vector machines (SVMs) a successful modeling and prediction tool for a variety of applications. We try to achieve this by presenting the basic ideas of SVMs together with the latest developments and current research questions in a uni?ed style. In a nut
DOSE
发表于 2025-3-28 00:32:02
Sumit Pundir,Mohammad Wazid,Ayan Bakshi,Devesh Pratap Singhis to explain the principles that made support vector machines (SVMs) a successful modeling and prediction tool for a variety of applications. We try to achieve this by presenting the basic ideas of SVMs together with the latest developments and current research questions in a uni?ed style. In a nut
颂扬国家
发表于 2025-3-28 04:10:56
G. U. Mali,D. K. Gautamtreatment of state-of-the-art results on support vector machEvery mathematical discipline goes through three periods of development: the naive, the formal, and the critical. David Hilbert The goal of this book is to explain the principles that made support vector machines (SVMs) a successful modelin
Isthmus
发表于 2025-3-28 07:26:18
Severin Gbetondji Michoagan,S. M. Mali,Sharad Goreis to explain the principles that made support vector machines (SVMs) a successful modeling and prediction tool for a variety of applications. We try to achieve this by presenting the basic ideas of SVMs together with the latest developments and current research questions in a uni?ed style. In a nut
休闲
发表于 2025-3-28 13:30:48
Kanchan R. Mangrule,H. T. Ingale,S. K. Chaudhari,Anil J. Patiltreatment of state-of-the-art results on support vector machEvery mathematical discipline goes through three periods of development: the naive, the formal, and the critical. David Hilbert The goal of this book is to explain the principles that made support vector machines (SVMs) a successful modelin