249 search results - page 8 / 50 » Learning Causal Models of Relational Domains |
ML
2012
ACM
12 years 2 months ago
2012
ACM
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
ILP
2007
Springer
14 years 1 months ago
2007
Springer
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
ICMLA
2009
13 years 5 months ago
2009
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
AAAI
2006
13 years 8 months ago
2006
Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model that discovers systems of related concepts. Given da...
JMLR
2011
13 years 2 months ago
2011
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...