375 search results - page 18 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
146
Voted
IJAR
2006
15 years 3 months ago
2006
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
107
Voted
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...
141
Voted
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
152
Voted
UAI
1998
15 years 5 months ago
1998
People using consumer software applications typically do not use technical jargon when querying an online database of help topics. Rather, they attempt to communicate their goals ...
137
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...