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UAI
1998
15 years 2 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
124
Voted
SODA
2000
ACM
85views Algorithms» more  SODA 2000»
15 years 2 months ago
Improved bounds on the sample complexity of learning
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
Yi Li, Philip M. Long, Aravind Srinivasan
97
Voted
WSC
2000
15 years 2 months ago
Simulation based operational analysis of future space transportation systems
This paper presents an approach to the operational analysis of future space transportation systems. The approach combines knowledge from government and industry space operation an...
Alex J. Ruiz-Torres, Edgar Zapata
WSC
1997
15 years 2 months ago
Bayesian Analysis for Simulation Input and Output
The paper summarizes some important results at the intersection of the fields of Bayesian statistics and stochastic simulation. Two statistical analysis issues for stochastic sim...
Stephen E. Chick
74
Voted
ICASSP
2010
IEEE
15 years 28 days ago
Latent-variable decomposition based dereverberation of monaural and multi-channel signals
We present an algorithm to dereverberate single- and multi-channel audio recordings. The proposed algorithm models the magnitude spectrograms of clean audio signals as histograms ...
Rita Singh, Bhiksha Raj, Paris Smaragdis