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» Estimation of Chaotic Probabilities
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ICASSP
2011
IEEE
13 years 16 days 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...
TCOM
2008
75views more  TCOM 2008»
13 years 8 months ago
Fast performance estimation of block codes
Importance sampling is used in this paper to address the classical yet important problem of performance estimation of block codes. Simulation distributions that comprise discretean...
Rajan Srinivasan, Nuo Wang
JAMDS
2002
107views more  JAMDS 2002»
13 years 8 months ago
Estimating a resource selection function with line transect sampling
Abstract. A resource selection probability function is a function that gives the probability that a resource unit (e.g., a plot of land) that is described by a set of habitat varia...
Bryan F. J. Manly
ISSRE
2002
IEEE
14 years 1 months ago
Worst Case Reliability Prediction Based on a Prior Estimate of Residual Defects
In this paper we extend an earlier worst case bound reliability theory to derive a worst case reliability function R(t), which gives the worst case probability of surviving a furt...
Peter G. Bishop, Robin E. Bloomfield
COLT
2000
Springer
14 years 1 months ago
On the Convergence Rate of Good-Turing Estimators
Good-Turing adjustments of word frequencies are an important tool in natural language modeling. In particular, for any sample of words, there is a set of words not occuring in tha...
David A. McAllester, Robert E. Schapire