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LREC
2008
125views Education» more  LREC 2008»
13 years 11 months ago
Adaptation of Relation Extraction Rules to New Domains
This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
Feiyu Xu, Hans Uszkoreit, Hong Li, Niko Felger
JAIR
2010
145views more  JAIR 2010»
13 years 8 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
ICMLA
2009
13 years 7 months ago
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
KES
2004
Springer
14 years 3 months ago
A Comparison of Two Approaches to Data Mining from Imbalanced Data
Our objective is a comparison of two data mining approaches to dealing with imbalanced data sets. The first approach is based on saving the original rule set, induced by the LEM2 ...
Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Szymon...
HT
2006
ACM
14 years 4 months ago
Hyperlink assessment based on web usage mining
One of the basic methods of web usage mining are association rules that indicate relationships among common use of web pages. Positive and confined negative association rules are ...
Przemyslaw Kazienko, Marcin Pilarczyk