232 search results - page 25 / 47 » Learning relational dependency networks in hybrid domains |
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
HICSS
2005
IEEE
14 years 4 months ago
2005
IEEE
Knowledge flow in interdisciplinary teams has become of particular interest as research and alliances cross traditional disciplinary boundaries, and as computing is applied in any...
ECAI
2008
Springer
14 years 18 days ago
2008
Springer
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
ATAL
2009
Springer
13 years 8 months ago
2009
Springer
This paper is motivated by some recent, intriguing research results involving agent-organized networks (AONs). In AONs, nodes represent agents, and collaboration between nodes are...
AAAI
2011
12 years 10 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...