1041 search results - page 3 / 209 » Two Algorithms for Inducing Causal Models from Data |
BMCBI
2007
13 years 7 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
AAAI
2008
13 years 9 months ago
2008
The construction of causal graphs from non-experimental data rests on a set of constraints that the graph structure imposes on all probability distributions compatible with the gr...