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WSC
2004
15 years 8 months ago
An Experimental Study on Forecasting Using TES Processes
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Abdullah S. Karaman, Tayfur Altiok
170
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WSC
2004
15 years 8 months ago
New Event-driven Sampling Techniques for Network Reliability Estimation
Exactly computing network reliability measures is an NPhard problem. Therefore, Monte Carlo simulation has been frequently used by network designers to obtain accurate estimates. ...
Abdullah Konak, Alice E. Smith, Sadan Kulturel-Kon...
NIPS
2003
15 years 8 months ago
Bias-Corrected Bootstrap and Model Uncertainty
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...
Harald Steck, Tommi Jaakkola
AAAI
2000
15 years 8 months ago
Modeling Classification and Inference Learning
Human categorization research is dominated by work in classification learning. The field may be in danger of equating the classification learning paradigm with the more general ph...
Bradley C. Love, Arthur B. Markman, Takashi Yamauc...
SNPD
2003
15 years 8 months ago
Semantics of Minimally Synchronous Parallel ML
This paper presents a new functional parallel language: Minimally Synchronous Parallel ML. The execution time can then be estimated and dead-locks and indeterminism are avoided. I...
Myrto Arapinis, Frédéric Loulergue, ...
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