995 search results - page 155 / 199 » Learning Useful Horn Approximations |
84
Voted
ICML
2009
IEEE
16 years 1 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...
91
Voted
ICML
2007
IEEE
16 years 1 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...
107
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...
ICML
2006
IEEE
16 years 1 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 ...
124
click to vote
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...