704 search results - page 18 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
118
Voted
CVPR
2008
IEEE
16 years 27 days 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...
IJCAI
2001
15 years 8 days ago
2001
Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...
99
Voted
ICDM
2002
IEEE
15 years 3 months ago
2002
IEEE
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
102
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ROMAN
2007
IEEE
15 years 5 months ago
2007
IEEE
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...