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TNN
2011
132views more  TNN 2011»
12 years 11 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...
MASCOTS
2007
13 years 6 months ago
Stochastic Bounds Applied to the End to End QoS in Communication Systems
—1 End to end QoS of communication systems is essential for users but their performance evaluation is a complex issue. The ion of such systems are usually given by multidimension...
Hind Castel, Lynda Mokdad, Nihal Pekergin
NIPS
2000
13 years 6 months ago
On Reversing Jensen's Inequality
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
Tony Jebara, Alex Pentland
UAI
1998
13 years 6 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
IWCMC
2006
ACM
13 years 11 months ago
Bounds on the fading number of multiple-input single-output fading channels with memory
We derive new upper and lower bounds on the fading number of multiple-input single-output (MISO) fading channels of general (not necessarily Gaussian) regular law with spatial and...
Stefan M. Moser