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.
Visitors profile Scientists, Researcher, PhD Students
Relevant Keywords Machine Learning
Past Events
Distributed machine learning and sparse representation with massive data sets (DMMD 2011) - 18-20 Jan 2011, CSIRO ICT Centre, Marsfield Lecture Theatre, Sydney, Australia (10277)
Distributed machine learning and sparse representation with massive data sets (DMMD) 2026
Important
Please, check "Distributed machine learning and sparse representation with massive data sets (DMMD)" official website for possible changes, before making any traveling arrangements
Event Categories
Education: Education Technologies & Methods, Training
