564 search results - page 4 / 113 » Bayesian Parameter Estimation: A Monte Carlo Approach |
IJCNN
2006
IEEE
14 years 13 days ago
2006
IEEE
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
CSDA
2006
13 years 6 months ago
2006
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
SAC
2010
ACM
13 years 1 months ago
2010
ACM
The label switching problem is caused by the likelihood of a Bayesian mixture model being invariant to permutations of the labels. The permutation can change multiple times betwee...
SIGMOD
2008
ACM
14 years 6 months ago
2008
ACM
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
JMLR
2010
13 years 1 months ago
2010
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...