704 search results - page 19 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
121
Voted
DSN
2007
IEEE
15 years 6 months ago
2007
IEEE
In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
111
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
141
Voted
IJDMB
2008
15 years 15 days ago
2008
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
89
Voted
ECCV
2000
Springer
16 years 2 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
115
Voted
ICMCS
2000
IEEE
15 years 4 months ago
2000
IEEE
In this paper we discuss our recent research and open issues in structural and semantic analysis of digital videos. Specifically, we focus on segmentation, summarization and class...