Academic Journal
Large scale online kernel learning
العنوان: | Large scale online kernel learning |
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المؤلفون: | LU, Jing, HOI, Steven C. H., WANG, Jialei, ZHAO, Peilin, LIU, Zhi-Yong |
المصدر: | Research Collection School Of Computing and Information Systems |
بيانات النشر: | Institutional Knowledge at Singapore Management University |
سنة النشر: | 2016 |
المجموعة: | Institutional Knowledge (InK) at Singapore Management University |
مصطلحات موضوعية: | online learning, kernel method, large scale machine learning, Computer Sciences, Databases and Information Systems, Theory and Algorithms |
الوصف: | In this paper, we present a new framework for large scale online kernel learning, making kernel methods efficient and scalable for large-scale online learning applications. Unlike the regular budget online kernel learning scheme that usually uses some budget maintenance strategies to bound the number of support vectors, our framework explores a completely different approach of kernel functional approximation techniques to make the subsequent online learning task efficient and scalable. Specifically, we present two different online kernel machine learning algorithms: (i) Fourier Online Gradient Descent (FOGD) algorithm that applies the random Fourier features for approximating kernel functions; and (ii) Nyström Online Gradient Descent (NOGD) algorithm that applies the Nyström method to approximate large kernel matrices. We explore these two approaches to tackle three online learning tasks: binary classification, multi-class classification, and regression. The encouraging results of our experiments on large-scale datasets validate the effectiveness and efficiency of the proposed algorithms, making them potentially more practical than the family of existing budget online kernel learning approaches. |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | https://ink.library.smu.edu.sg/sis_research/3410; https://ink.library.smu.edu.sg/context/sis_research/article/4411/viewcontent/Largescaleonlinekernellearning.pdf |
الاتاحة: | https://ink.library.smu.edu.sg/sis_research/3410 https://ink.library.smu.edu.sg/context/sis_research/article/4411/viewcontent/Largescaleonlinekernellearning.pdf |
Rights: | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
رقم الانضمام: | edsbas.C38E09F0 |
قاعدة البيانات: | BASE |
الوصف غير متاح. |