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» Efficient Learning of Semi-structured Data from Queries
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119
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ALT
2003
Springer
15 years 7 months ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
VLDB
2007
ACM
137views Database» more  VLDB 2007»
15 years 9 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl
150
Voted
PVLDB
2008
131views more  PVLDB 2008»
15 years 2 months ago
Learning to create data-integrating queries
The number of potentially-related data resources available for querying -- databases, data warehouses, virtual integrated schemas -continues to grow rapidly. Perhaps no area has s...
Partha Pratim Talukdar, Marie Jacob, Muhammad Salm...
SIGMOD
2005
ACM
103views Database» more  SIGMOD 2005»
16 years 3 months ago
Verifying Completeness of Relational Query Results in Data Publishing
In data publishing, the owner delegates the role of satisfying user queries to a third-party publisher. As the publisher may be untrusted or susceptible to attacks, it could produ...
HweeHwa Pang, Arpit Jain, Krithi Ramamritham, Kian...
ICML
2006
IEEE
16 years 4 months ago
Efficient learning of Naive Bayes classifiers under class-conditional classification noise
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
Christophe Nicolas Magnan, François Denis, ...