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» Representing Uncertainty in RuleML
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ACL
2003
13 years 9 months ago
Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm
This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
Yunbo Cao, Hang Li, Li Lian
WWW
2004
ACM
14 years 8 months ago
A method for modeling uncertainty in semantic web taxonomies
We present a method for representing and reasoning with uncertainty in RDF(S) and OWL ontologies based on Bayesian networks. Categories and Subject Descriptors: I.2.4 Artificial I...
Eero Hyvönen, Markus Holi
AIPS
2004
13 years 9 months ago
Fault Tolerant Planning: Toward Probabilistic Uncertainty Models in Symbolic Non-Deterministic Planning
Symbolic non-deterministic planning represents action effects as sets of possible next states. In this paper, we move toward a more probabilistic uncertainty model by distinguishi...
Rune M. Jensen, Manuela M. Veloso, Randal E. Bryan...
AUTOMATICA
2010
104views more  AUTOMATICA 2010»
13 years 8 months ago
Identification for robust H2 deconvolution filtering
This paper addresses robust deconvolution filtering when the system and noise dynamics are obtained by parametric system identification. Consistent with standard identification me...
Xavier Bombois, Håkan Hjalmarsson, Gé...
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 2 months ago
Resolving Identity Uncertainty with Learned Random Walks
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Ted Sandler, Lyle H. Ungar, Koby Crammer