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» Learning Rules and Their Exceptions
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AIME
2003
Springer
14 years 4 months ago
The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions
Among the well agreed-on benefits of a guideline computerisation, with respect to the traditional text format, there are the disambiguation, the possibility of looking at the guide...
Paolo Ciccarese, Ezio Caffi, Lorenzo Boiocchi, Ass...
LPKR
1997
Springer
14 years 3 months ago
A System for Abductive Learning of Logic Programs
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic programs from examples and from a background abductive theory. A new type of induction...
Evelina Lamma, Paola Mello, Michela Milano, Fabriz...
ACSC
2002
IEEE
14 years 3 months ago
Alias Analysis for Exceptions in Java
We propose a flow-sensitive alias analysis algorithm that computes safe and efficient alias sets in Java. For that, we propose a references-set representation of aliased elements,...
Jehak Woo, Jongwook Woo, Isabelle Attali, Denis Ca...
CIB
2004
57views more  CIB 2004»
13 years 10 months ago
Identifying Global Exceptional Patterns in Multi-database Mining
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Z...
ICFCA
2007
Springer
14 years 5 months ago
A Parameterized Algorithm for Exploring Concept Lattices
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
Peggy Cellier, Sébastien Ferré, Oliv...