123 search results - page 8 / 25 » Bayesian Algorithms for Causal Data Mining |
KDD
2002
ACM
14 years 7 months ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
ICCV
2005
IEEE
14 years 29 days ago
2005
IEEE
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
KDD
2009
ACM
13 years 12 months ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
AUSDM
2008
Springer
13 years 9 months ago
2008
Springer
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...