CfP: Distributed machine learning and sparse representation with massive data sets (DMMD 2011) October 27
DMMD 2011 Symposium: Distributed machine learning and sparse representation with massive data sets
Web page: http://research.ict.csiro.au/conferences/machine-learning/
The symposium will take place at the CSIRO Campus in Sydney (Marsfield), Australia.
The exponentially increasing demand for computing power as well as physical and economic limitations has contributed to a proliferation of distributed and parallel computer architectures. To make better use of current and future high-performance computing, and to fully benefit from these massive amounts of data, we must discover, understand and exploit the available parallelism in machine learning. Simultaneously, we have to model data in an adequate manner while keeping the models as simple as possible, by making use of a sparse representation of the data or sparse modelling of the respective underlying problem.
The invited speakers are:
Samy Bengio (Google Research, CA, USA)
Barbara Hammer (University of Bielefeld, Germany)
Yann LeCun (New York University, NY, USA)
Michael Mahoney (Stanford University, CA, USA)
Call for Papers / Extended Abstracts
