66 search results - page 3 / 14 » HAMA: An Efficient Matrix Computation with the MapReduce Fra... |
PVLDB
2010
13 years 2 days ago
2010
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
CORR
2010
Springer
13 years 5 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...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
A general framework based on Gaussian models and a MAPEM algorithm is introduced in this paper for solving matrix/table completion problems. The numerical experiments with the sta...
EUROPAR
2006
Springer
13 years 9 months ago
2006
Springer
Computations on two-dimensional arrays such as matrices and images are one of the most fundamental and ubiquitous things in computational science and its vast application areas, bu...
STOC
2009
ACM
14 years 6 months ago
2009
ACM
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...