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UAI
1998
15 years 5 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
CORR
2010
Springer
155views Education» more  CORR 2010»
15 years 3 months ago
A New Upper Bound on the Average Error Exponent for Multiple-Access Channels
A new lower bound for the average probability or error for a two-user discrete memoryless (DM) multiple-access channel (MAC) is derived. This bound has a structure very similar to...
Ali Nazari, S. Sandeep Pradhan, Achilleas Anastaso...
ICASSP
2011
IEEE
14 years 8 months ago
Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
Balakrishnan Varadarajan, Garimella S. V. S. Sivar...
ICASSP
2011
IEEE
14 years 8 months ago
Bias analysis of the forced choice detection test for Rayleigh/Rician statistics
For Rayleigh/Rician statistics at the decision device, the probability of correct decision in the forced choice (FC) hypothesis test is given in terms of a closed-form finite ser...
Graham W. Pulford
ASMTA
2011
Springer
295views Mathematics» more  ASMTA 2011»
14 years 8 months ago
Performance Evaluation of a Single Node with General Arrivals and Service
Queueing delays experienced by packets buffered at a node are among the most difficult to predict when considering the performance of a flow in a network. The arrivals of packets a...
Alexandre Brandwajn, Thomas Begin