Kernel Learning by Spectral Representation and Gaussian Mixtures

One of the main tasks in kernel methods is the selection of adequate mappings into higher dimension in order to improve class classification. However, this tends to be time consuming, and it may not finish with the best separation between classes. Therefore, there is a need for better methods that a...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Applied Sciences
المؤلفون الرئيسيون: Luis R. Pena-Llamas, Ramon O. Guardado-Medina, Arturo Garcia, Andres Mendez-Vazquez
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2023-02-01
الموضوعات:
non-parametric kernel learning
approximating kernel
kernel spectral representation
locally stationary kernel
الوصول للمادة أونلاين:https://www.mdpi.com/2076-3417/13/4/2473

الانترنت

https://www.mdpi.com/2076-3417/13/4/2473

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