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CSDA
2007
134views more  CSDA 2007»
13 years 7 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
NETWORKS
2010
13 years 6 months ago
A mean-variance model for the minimum cost flow problem with stochastic arc costs
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
Stephen D. Boyles, S. Travis Waller
ICML
2010
IEEE
13 years 5 months ago
Online Prediction with Privacy
In this paper, we consider online prediction from expert advice in a situation where each expert observes its own loss at each time while the loss cannot be disclosed to others fo...
Jun Sakuma, Hiromi Arai
INTERSPEECH
2010
13 years 2 months ago
Reduction of broadband noise in speech signals by multilinear subspace analysis
A new noise reduction method for speech signals is proposed in this paper. The method is based upon the N-mode singular value decomposition algorithm, which exploits the multiline...
Yusuke Sato, Tetsuya Hoya, Hovagim Bakardjian, And...
MOBIDE
2003
ACM
14 years 23 days ago
Consistency mechanisms for a distributed lookup service supporting mobile applications
This paper presents a general-purpose distributed lookup service, denoted Passive Distributed Indexing (PDI). PDI stores entries in form of (key, value) pairs in index caches loca...
Christoph Lindemann, Oliver P. Waldhorst