566 search results - page 93 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
128
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
103
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ICML
2009
IEEE
16 years 4 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...
116
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
We consider the sparse grid combination technique for regression, which we regard as a problem of function reconstruction in some given function space. We use a regularised least ...
142
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DSMML
2004
Springer
15 years 8 months ago
2004
Springer
Applications such as audio fingerprinting require search in high dimensions: find an item in a database that is similar to a query. An important property of this search task is t...