66 search results - page 11 / 14 » Incremental Bayesian networks for structure prediction |
SDM
2010
SIAM
13 years 7 months ago
2010
SIAM
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
RECOMB
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
RECOMB
2003
Springer
14 years 6 months ago
2003
Springer
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...