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ICGI
1998
Springer
13 years 12 months ago
Learning k-Variable Pattern Languages Efficiently Stochastically Finite on Average from Positive Data
Abstract. The present paper presents a new approach of how to convert Gold-style [4] learning in the limit into stochastically finite learning with high confidence. We illustrate t...
Peter Rossmanith, Thomas Zeugmann
SEMWEB
2005
Springer
14 years 1 months ago
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Peter Haase, Johanna Völker
PVLDB
2010
158views more  PVLDB 2010»
13 years 6 months ago
Building Ranked Mashups of Unstructured Sources with Uncertain Information
Mashups are situational applications that join multiple sources to better meet the information needs of Web users. Web sources can be huge databases behind query interfaces, which...
Mohamed A. Soliman, Ihab F. Ilyas, Mina Saleeb
ICDE
2010
IEEE
212views Database» more  ICDE 2010»
13 years 7 months ago
Cleansing uncertain databases leveraging aggregate constraints
— Emerging uncertain database applications often involve the cleansing (conditioning) of uncertain databases using additional information as new evidence for reducing the uncerta...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang
QUACON
2009
Springer
14 years 2 months ago
A Context Quality Model to Support Transparent Reasoning with Uncertain Context
Much research on context quality in context-aware systems divides into two strands: (1) the qualitative identication of quality measures and (2) the use of uncertain reasoning tec...
Susan McKeever, Juan Ye, Lorcan Coyle, Simon Dobso...