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» Evaluating algorithms that learn from data streams
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ICDT
2003
ACM
106views Database» more  ICDT 2003»
15 years 10 months ago
Processing XML Streams with Deterministic Automata
We consider the problem of evaluating a large number of XPath expressions on an XML stream. Our main contribution consists in showing that Deterministic Finite Automata (DFA) can b...
Todd J. Green, Gerome Miklau, Makoto Onizuka, Dan ...
125
Voted
BTW
2009
Springer
128views Database» more  BTW 2009»
15 years 8 months ago
Stream-Based Web Service Invocation
: Service-oriented architectures (SOA) based on Web service technology play an increasingly important role in many different application areas. The current service invocation metho...
Steffen Preissler, Hannes Voigt, Dirk Habich, Wolf...
KDD
2009
ACM
142views Data Mining» more  KDD 2009»
16 years 5 months ago
Quantification and semi-supervised classification methods for handling changes in class distribution
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
Jack Chongjie Xue, Gary M. Weiss
KDD
2007
ACM
189views Data Mining» more  KDD 2007»
16 years 5 months ago
Corroborate and learn facts from the web
The web contains lots of interesting factual information about entities, such as celebrities, movies or products. This paper describes a robust bootstrapping approach to corrobora...
Shubin Zhao, Jonathan Betz
COLT
1992
Springer
15 years 8 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi