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Online Multiple Kernel Learning: Algorithms and Mistake Bounds

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Publication:4930713
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DOI10.1007/978-3-642-16108-7_31zbMath1306.68131OpenAlexW1537838346MaRDI QIDQ4930713

Steven C. H. Hoi, Tianbao Yang, Rong Jin

Publication date: 1 October 2010

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://ink.library.smu.edu.sg/sis_research/2359


zbMATH Keywords

online learningkernelsrelative loss bounds


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Online algorithms; streaming algorithms (68W27)


Related Items

Online multikernel learning based on a triple-norm regularizer for semantic image classification ⋮ Online Learning with (Multiple) Kernels: A Review ⋮ Worst-case regret analysis of computationally budgeted online kernel selection ⋮ Online multiple kernel classification ⋮ Online primal-dual learning for a data-dependent multi-kernel combination model with multiclass visual categorization applications ⋮ Structural Online Learning ⋮ Unnamed Item ⋮ Impulse response function identification of linear mechanical systems based on Kautz basis expansion with multiple poles


Uses Software

  • SHOGUN
  • SimpleMKL


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