17 search results - page 2 / 4 » Learning Temporal Causal Graphs for Relational Time-Series A... |
KDD
2007
ACM
14 years 5 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...
ICCS
2005
Springer
13 years 10 months ago
2005
Springer
A machine learning technique for handling scenarios of interaction between conflicting agents is suggested. Scenarios are represented by directed graphs with labeled vertices (for ...
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CVPR
2012
IEEE
11 years 6 months ago
2012
IEEE
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...
BMCBI
2007
13 years 4 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...
EMNLP
2006
13 years 6 months ago
2006
We consider the problem of constructing a directed acyclic graph that encodes temporal relations found in a text. The unit of our analysis is a temporal segment, a fragment of tex...