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KDD
2000
ACM
115views Data Mining» more  KDD 2000»
13 years 11 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
FUIN
2010
94views more  FUIN 2010»
13 years 5 months ago
A Framework for Iterated Belief Revision Using Possibilistic Counterparts to Jeffrey's Rule
Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey’s rule, which extends conditioning to probabilistic inputs, is appropr...
Salem Benferhat, Didier Dubois, Henri Prade, Mary-...
LOGCOM
2008
106views more  LOGCOM 2008»
13 years 7 months ago
Reinforcement Belief Revision
The capability of revising its beliefs upon new information in a rational and efficient way is crucial for an intelligent agent. The classical work in belief revision focuses on i...
Yi Jin, Michael Thielscher
AIR
2006
83views more  AIR 2006»
13 years 7 months ago
A revision-based approach to handling inconsistency in description logics
Recently, the problem of inconsistency handling in description logics has attracted a lot of attention. Many approaches have been proposed to deal with this problem based on existi...
Guilin Qi, Weiru Liu, David A. Bell
WCRE
2005
IEEE
14 years 27 days ago
When Functions Change Their Names: Automatic Detection of Origin Relationships
It is a common understanding that identifying the same entity such as module, file, and function between revisions is important for software evolution related analysis. Most softw...
Sunghun Kim, Kai Pan, E. James Whitehead Jr.