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» Self-calibrating Probability Forecasting
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TNN
2011
132views more  TNN 2011»
13 years 1 months ago
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals
—Prediction intervals (PIs) have been proposed in the literature to provide more information by quantifying the level of uncertainty associated to the point forecasts. Traditiona...
Abbas Khosravi, Saeid Nahavandi, Douglas C. Creigh...
KDD
2003
ACM
449views Data Mining» more  KDD 2003»
14 years 7 months ago
Passenger-based predictive modeling of airline no-show rates
Airlines routinely overbook flights based on the expectation that some fraction of booked passengers will not show for each flight. Accurate forecasts of the expected number of no...
Richard D. Lawrence, Se June Hong, Jacques Cherrie...
SIGECOM
2009
ACM
118views ECommerce» more  SIGECOM 2009»
14 years 1 months ago
Modeling volatility in prediction markets
There is significant experimental evidence that prediction markets are efficient mechanisms for aggregating information and are more accurate in forecasting events than tradition...
Nikolay Archak, Panagiotis G. Ipeirotis
DSN
2005
IEEE
14 years 1 months ago
Probabilistic QoS Guarantees for Supercomputing Systems
Supercomputing systems must be able to reliably and efficiently complete their assigned workloads, even in the presence of failures. This paper proposes a system that allows the ...
Adam J. Oliner, Larry Rudolph, Ramendra K. Sahoo, ...
SIGECOM
2010
ACM
137views ECommerce» more  SIGECOM 2010»
14 years 8 days ago
Prediction without markets
Citing recent successes in forecasting elections, movies, products, and other outcomes, prediction market advocates call for widespread use of market-based methods for government ...
Sharad Goel, Daniel M. Reeves, Duncan J. Watts, Da...