2918 search results - page 283 / 584 » Learning qualitative models from numerical data |
141
Voted
ISMDA
2001
Springer
15 years 11 months ago
2001
Springer
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
182
click to vote
CORR
2006
Springer
15 years 6 months ago
2006
Springer
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has received much attention in the past. Most previous wo...
188
click to vote
SIGMETRICS
2008
ACM
15 years 6 months ago
2008
ACM
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
307
click to vote
AIME
2003
Springer
15 years 12 months ago
2003
Springer
Objective: Deep biomedical models are often expressed by means of differential equations. Despite their expressive power, they are difficult to reason about and make decisions, g...
173
click to vote
BMCBI
2010
15 years 6 months ago
2010
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. To infer gene regulatory networks, the first step is to f...