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» Random Sampling Techniques in Parallel Computation
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RANDOM
2001
Springer
15 years 2 months ago
Minimizing Stall Time in Single and Parallel Disk Systems Using Multicommodity Network Flows
We study integrated prefetching and caching in single and parallel disk systems. A recent approach used linear programming to solve the problem. We show that integrated prefetching...
Susanne Albers, Carsten Witt
ECAI
2004
Springer
15 years 3 months ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...
SAC
2006
ACM
15 years 3 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
HICSS
2007
IEEE
97views Biometrics» more  HICSS 2007»
15 years 4 months ago
Decision Support in Health Care via Root Evidence Sampling
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
Benjamin B. Perry, Eli Faulkner
MIDDLEWARE
2009
Springer
15 years 2 months ago
How to Keep Your Head above Water While Detecting Errors
Today’s distributed systems need runtime error detection to catch errors arising from software bugs, hardware errors, or unexpected operating conditions. A prominent class of err...
Ignacio Laguna, Fahad A. Arshad, David M. Grothe, ...