243 search results - page 30 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
ACL
2009
13 years 5 months ago
2009
The implementation of collapsed Gibbs samplers for non-parametric Bayesian models is non-trivial, requiring considerable book-keeping. Goldwater et al. (2006a) presented an approx...
NN
2000
Springer
13 years 7 months ago
2000
Springer
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
IDA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper we propose two fast Total Variation (TV) based algorithms for image restoration by utilizing variational posterior distribution approximation. The unknown image and ...
ATAL
2004
Springer
14 years 29 days ago
2004
Springer
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...