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IPPS
1998
IEEE
14 years 1 months ago
ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets
In this paper, we present ScalParC (Scalable Parallel Classifier), a new parallel formulation of a decision tree based classification process. Like other state-of-the-art decision...
Mahesh V. Joshi, George Karypis, Vipin Kumar
EUROPAR
1997
Springer
14 years 29 days ago
Using the Parallel Karatsuba Algorithm for Long Integer Multiplication and Division
We experiment with sequential and parallel versions of the Karatsuba multiplication algorithm implemented under the paclib computer algebra system on a Sequent Symmetry shared-memo...
Tudor Jebelean
ICPR
2000
IEEE
14 years 10 months ago
A Parallel Algorithm for Tracking of Segments in Noisy Edge Images
We present a parallel implementation of a probabilistic algorithm for real time tracking of segments in noisy edge images. Given an initial solution ?a set of segments that reason...
Pedro E. López-de-Teruel, Alberto Ruiz, Jos...
CLUSTER
2009
IEEE
14 years 1 months ago
Numerically stable, single-pass, parallel statistics algorithms
—Statistical analysis is widely used for countless scientific applications in order to analyze and infer meaning from data. A key challenge of any statistical analysis package a...
Janine Bennett, R. Grout, Philippe P. Pébay...
SIGIR
2012
ACM
11 years 11 months ago
Parallelizing ListNet training using spark
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
Shilpa Shukla, Matthew Lease, Ambuj Tewari