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LSSC
2001
Springer
14 years 2 months ago
A Quasi-Monte Carlo Method for Integration with Improved Convergence
Abstract. Quasi-Monte Carlo methods are based on the idea that random Monte Carlo techniques can often be improved by replacing the underlying source of random numbers with a more ...
Aneta Karaivanova, Ivan Dimov, Sofiya Ivanovska
3DIM
2001
IEEE
14 years 1 months ago
The Parallel Iterative Closest Point Algorithm
This paper describes a parallel implementation developed to improve the time performance of the Iterative Closest Point Algorithm. Within each iteration, the correspondence calcul...
Christian Langis, Michael A. Greenspan, Guy Godin
SODA
2001
ACM
110views Algorithms» more  SODA 2001»
13 years 11 months ago
IMproved results for route planning in stochastic transportation
In the bus network problem, the goal is to generate a plan for getting from point X to point Y within a city using buses in the smallest expected time. Because bus arrival times a...
Justin A. Boyan, Michael Mitzenmacher
CSDA
2008
128views more  CSDA 2008»
13 years 10 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
TC
2010
13 years 8 months ago
Scalable Node-Level Computation Kernels for Parallel Exact Inference
—In this paper, we investigate data parallelism in exact inference with respect to arbitrary junction trees. Exact inference is a key problem in exploring probabilistic graphical...
Yinglong Xia, Viktor K. Prasanna