136 search results - page 19 / 28 » Bayesian Estimation of Kernel Bandwidth for Nonparametric Mo... |
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
JMLR
2011
14 years 4 months ago
2011
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
108
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JMLR
2002
14 years 9 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
63
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ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
Classic methods for Bayesian inference effectively constrain search to lie within regions of significant probability of the temporal prior. This is efficient with an accurate dyna...
106
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JCB
2007
14 years 9 months ago
2007
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...