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UAI
1998
15 years 7 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
JCPHY
2011
85views more  JCPHY 2011»
14 years 9 months ago
A fast method for the solution of the Helmholtz equation
In this paper, we consider the numerical solution of the Helmholtz equation, arising from the study of the wave equation in the frequency domain. The approach proposed here diffe...
Eldad Haber, Scott MacLachlan
SAC
2009
ACM
16 years 1 months ago
An empirical study of incorporating cost into test suite reduction and prioritization
Software developers use testing to gain and maintain confidence in the correctness of a software system. Automated reduction and prioritization techniques attempt to decrease the...
Adam M. Smith, Gregory M. Kapfhammer
BMCBI
2008
122views more  BMCBI 2008»
15 years 6 months ago
Generating samples for association studies based on HapMap data
Background: With the completion of the HapMap project, a variety of computational algorithms and tools have been proposed for haplotype inference, tag SNP selection and genome-wid...
Jing Li, Yixuan Chen
PVLDB
2010
167views more  PVLDB 2010»
15 years 4 months ago
The Performance of MapReduce: An In-depth Study
MapReduce has been widely used for large-scale data analysis in the Cloud. The system is well recognized for its elastic scalability and fine-grained fault tolerance although its...
Dawei Jiang, Beng Chin Ooi, Lei Shi, Sai Wu