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XSYM
2005
Springer
107views Database» more  XSYM 2005»
13 years 10 months ago
Logic Wrappers and XSLT Transformations for Tuples Extraction from HTML
Abstract. Recently it was shown that existing general-purpose inductive logic programming systems are useful for learning wrappers (known as L-wrappers) to extract data from HTML d...
Costin Badica, Amelia Badica
RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
13 years 8 months ago
Quantifying Uncertainty of Knowledge Discovered From Databases
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
Yang Xiang, S. K. Michael Wong, Nick Cercone
CORR
2000
Springer
120views Education» more  CORR 2000»
13 years 4 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
AGP
1997
IEEE
13 years 9 months ago
An Algorithm for Learning Abductive Rules
We propose an algorithm for learning abductive logic programs from examples. We consider the Abductive Concept Learning framework, an extension of the Inductive Logic Programming ...
Evelina Lamma, Paola Mello, Michela Milano, Fabriz...
CLIMA
2004
13 years 6 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis