19 search results - page 4 / 4 » Inductive transfer for learning Bayesian networks |
ILP
2007
Springer
13 years 11 months ago
2007
Springer
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
ML
2006
ACM
13 years 5 months ago
2006
ACM
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
AAAI
2006
13 years 6 months ago
2006
Recent years have witnessed a growing interest in interactive narrative-centered virtual environments for education, training, and entertainment. Narrative environments dynamicall...
JMLR
2010
12 years 12 months ago
2010
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...