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    MLSS 2012 - Machine Learning Summer School at UC Santa Cruz

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    Category MLSS 2012

    Deadline: July 09, 2012 | Date: July 09, 2012-July 20, 2012

    Venue/Country: Santa Cruz, U.S.A

    Updated: 2012-05-13 00:26:09 (GMT+9)

    Call For Papers - CFP

    Machine Learning Summer School at UC Santa Cruz

    July 9 through July 20, 2012

    See http://mlss.soe.ucsc.edu for complete information.

    The summer school will be particularly beneficial for grad

    students in Machine Learning and IT professionals.

    It is endorsed by the Machine Learning Summer School board

    (http://www.mlss.cc/) and will focus on

    scaling up state-of-the-art Machine Learning algorithms and

    methods to massive real-world problems. The school consists

    of long tutorials given by leading academics and lots of application

    talks by researchers from Silicon Valley companies. The two-week event

    will be held on the beautiful UCSC campus and the

    participants will be housed in student apartments on a hill

    overlooking the scenic Monterey Bay

    (~ $408/$500 single/double for 13 nights).

    Registration is open to students ($250), academics ($1000),

    and professionals ($2000), but is limited to 150 individuals.

    Register early at http://mlss.soe.ucsc.edu/registration to ensure a

    spot.

    Some student support is available; see http://mlss.soe.ucsc.edu/scholarships

    for application information and requirements.

    Confirmed tutorial speakers:

    Dale Shuurmans - University of Alberta, Machine Learning Fundamentals

    Jitendra Malik - University of California at Berkeley, Machine

    Learning for Vision

    Avrim Blum - Carnegie Mellon University, Online Learning

    Gunnar Raetsch - Sloan-Kettering Cancer Center, NY, Kernel Methods in

    Computational Biology

    S V N Vishwanathan - Purdue University, Optimization Techniques for

    Machine Learning

    Kevin Murphy - UBC, Vancouver / Google Mountain View, Graphical models

    Jennifer Wortman - UCLA, Prediction Markets

    Yoav Freund - UCSD, Boosting

    Hal Daume III - U. Maryland, Machine Learning for Natural Language

    Processing

    Application talks by:

    Ken Clarkson (IBM Almaden), Scott Brandt (UCSC),

    Fernando Pereira (Google Mountain View), Dennis Decoste (eBay San

    Jose),

    Ravi Kumar (Yahoo Research), Hartmut Neven (Google Santa Monica),

    Ralf Herbrich (Facebook Mountain View),

    David Haussler (UCSC), Amnol Bhasin (LinkedIn), and

    Chih-Jen Lin (eBay, Nat. Tiawan Univ.).

    See http://mlss.soe.ucsc.edu/schedule for the current schedule.

    Organizer: Manfred K. Warmuth, UC Santa Cruz

    Co-Organizer: S V N Vishwanathan, Purdue University,

    Co-Organizer: David P. Helmbold, UC Santa Cruz

    Supported by NSF and various company sponsors that we are currently

    soliciting


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.