33 search results - page 4 / 7 » Experiences with MapReduce, an abstraction for large-scale c... |
ICDE
2012
IEEE
11 years 10 months ago
2012
IEEE
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
COLCOM
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract—This article describes a distributed classroom experiment carried out by five universities in the US and Europe at the beginning of 2007. This experiment was motivated ...
ISVC
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. The drive for greater detail in scientific computing and digital photography is creating demand for ultra-resolution images and visualizations. Such images are best view...
IPCO
2004
13 years 9 months ago
2004
Abstract. We propose a general methodology based on robust optimization to address the problem of optimally controlling a supply chain subject to stochastic demand in discrete time...