145 search results - page 15 / 29 » Incorporating prior knowledge in fuzzy model identification |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
BMCBI
2010
13 years 7 months ago
2010
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
VLDB
2004
ACM
14 years 25 days ago
2004
ACM
In this paper, we address the maintenance of spatial semijoin queries over continuously moving points, where points are modeled as linear functions of time. This is analogous to t...
NIPS
2007
13 years 9 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...