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JIIS
2008
89views more  JIIS 2008»
14 years 9 months ago
A note on phase transitions and computational pitfalls of learning from sequences
An ever greater range of applications call for learning from sequences. Grammar induction is one prominent tool for sequence learning, it is therefore important to know its proper...
Antoine Cornuéjols, Michèle Sebag
JMLR
2006
148views more  JMLR 2006»
14 years 9 months ago
Walk-Sums and Belief Propagation in Gaussian Graphical Models
We present a new framework based on walks in a graph for analysis and inference in Gaussian graphical models. The key idea is to decompose the correlation between each pair of var...
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Wil...
JSAC
2006
89views more  JSAC 2006»
14 years 9 months ago
A Comparison of Poisson and Uniform Sampling for Active Measurements
Active probes of network performance represent samples of the underlying performance of a system. Some effort has gone into considering appropriate sampling patterns for such probe...
Matthew Roughan
NECO
2008
108views more  NECO 2008»
14 years 9 months ago
Optimal Approximation of Signal Priors
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
Aapo Hyvärinen
FCSC
2007
159views more  FCSC 2007»
14 years 9 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...