• DocumentCode
    3435112
  • Title

    Kernel machine learning: a systems perspective

  • Author

    Cauwenberghs, Gert

  • Author_Institution
    Johns Hopkins Univ., MD, USA
  • fYear
    2001
  • fDate
    2001
  • Abstract
    The article presents a systems perspective on kernel machine learning, including a discussion of margin and generalization, support vector machines and kernels. Cost functions and dual formulation are covered including classification, regression and probability estimation. The article concludes by analysing sparsity, incremental learning and learning machines
  • Keywords
    generalisation (artificial intelligence); learning (artificial intelligence); learning automata; classification; cost function; dual formulation; generalization; incremental learning; kernel machine learning; learning machine; margin; probability estimation; regression; sparsity; support vector machine; Kernel; Machine learning; Statistical learning; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. Tutorial Guide: ISCAS 2001. The IEEE International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7113-5
  • Type

    conf

  • DOI
    10.1109/TUTCAS.2001.946953
  • Filename
    946953
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3435112