MLSS 2012 - Machine Learning Summer School at UC Santa Cruz
Topics/Call fo Papers
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
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
Other CFPs
- 6th Annual International Conference on Mediterranean Studies
- The 8th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS (SITIS 2012)
- International Workshop on Complex Networks and their Applications
- 5th ACM Workshop on Artificial Intelligence and Security
- The Conference on Selected Areas in Cryptography
Last modified: 2012-05-13 00:26:09