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» Large Scale Data Mining: Challenges and Responses
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KDD
1995
ACM
148views Data Mining» more  KDD 1995»
15 years 9 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
SIGIR
2006
ACM
15 years 12 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
CCGRID
2006
IEEE
16 years 1 days ago
Large Scale Distributed Simulation on the Grid
The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locatio...
Georgios K. Theodoropoulos, Yi Zhang, Dan Chen, Ro...
ICCS
2007
Springer
16 years 4 days ago
Enabling Very-Large Scale Earthquake Simulations on Parallel Machines
Abstract. The Southern California Earthquake Center initiated a major largescale earthquake simulation called TeraShake. The simulations propagated seismic waves across a domain of...
Yifeng Cui, Reagan Moore, Kim Olsen, Amit Chourasi...
CVPR
2012
IEEE
13 years 8 months ago
Large scale metric learning from equivalence constraints
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
Martin Köstinger, Martin Hirzer, Paul Wohlhar...