Multi-task beta process sparse kernel machines

Junbin Gao

    Research output: Book chapter/Published conference paperConference paperpeer-review

    13 Downloads (Pure)

    Abstract

    In this paper we propose a nonparametric extensionto the sparse kernel machine using a beta process prior. The extended beta process sparse kernel machine (BPSKM) allows for a sparse model to be constructed from a set of training data. The recent research on beta process reveals elegant property of Bayesian conjugate prior which is utilized to derive a variational Bayes inference algorithm. The performance of the proposed algorithm has been investigated on both synthetic and real-life data sets.
    Original languageEnglish
    Title of host publicationProceedings of the 2011 International Joint Conference on Neural Networks (IJCNN)
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages153-158
    Number of pages6
    ISBN (Print)9781424496358
    DOIs
    Publication statusPublished - 2011
    EventIEEE International Joint Conference on Neural Networks: IJCNN 2011 - DoubleTree Hotel, San Jose, United States
    Duration: 31 Jul 201105 Aug 2011
    https://web.archive.org/web/20110411045029/http://www.ijcnn2011.org/ (Conference website)

    Publication series

    Name
    ISSN (Print)2161-4393

    Conference

    ConferenceIEEE International Joint Conference on Neural Networks
    Country/TerritoryUnited States
    CitySan Jose
    Period31/07/1105/08/11
    OtherThe International Joint Conference on Neural Networks is the premier international conference in the area of neural networks. IJCNN 2011 is organized by the International Neural Network Society (INNS), and sponsored jointly by INNS and the IEEE Computational Intelligence Society - the two leading professional organizations for researchers working in neural networks.

    IJCNN 2011 will be held at the Doubletree Hotel in San Jose, CA. It will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence. In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest.
    Internet address

    Cite this