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ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
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...
KDD
2003
ACM
14 years 11 months ago
2003
ACM
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
VLDB
2007
ACM
14 years 11 months ago
2007
ACM
Record matching is the task of identifying records that match the same real world entity. This is a problem of great significance for a variety of business intelligence applicatio...
SIGMOD
2004
ACM
14 years 11 months ago
2004
ACM
Peer data management systems (PDMS) offer a flexible architecture for decentralized data sharing. In a PDMS, every peer is associated with a schema that represents the peer's...