702 search results - page 5 / 141 » Learning Probabilistic Models of Relational Structure |
82
Voted
IJAR
2006
14 years 10 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
ICMLA
2009
14 years 8 months ago
2009
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
99
Voted
KR
2004
Springer
15 years 3 months ago
2004
Springer
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
83
Voted
AICOM
2008
14 years 10 months ago
2008
89
Voted
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...