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» CLP(BN): Constraint Logic Programming for Probabilistic Know...
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KRDB
1996
123views Database» more  KRDB 1996»
13 years 9 months ago
Flexible Query-Answering Systems Modelled in Metalogic Programming
Metaprogramming adds new expressive power to logic programming which can be advantageous to transfer to the field of deductive databases. We propose metaprogramming as a way to mo...
Troels Andreasen, Henning Christiansen
ICML
2005
IEEE
14 years 8 months ago
Learning the structure of Markov logic networks
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...
Stanley Kok, Pedro Domingos
VLDB
1990
ACM
143views Database» more  VLDB 1990»
13 years 12 months ago
Synthesizing Database Transactions
Database programming requires having the knowledge of database semantics both to maintain database integrity and to explore more optimization opportunities. Automated programming ...
Xiaolei Qian
ILP
2007
Springer
14 years 2 months ago
Learning to Assign Degrees of Belief in Relational Domains
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...
Frédéric Koriche
ICTL
1994
13 years 12 months ago
Abduction in Temporal Reasoning
Commonsense knowledge often omits the temporal incidence of facts, and even the ordering between occurrences is only available for some of their instances. Reasoning about the temp...
Cristina Ribeiro, António Porto