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» Learning Rules and Their Exceptions
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KDD
1994
ACM
116views Data Mining» more  KDD 1994»
14 years 1 months ago
Exception Dags as Knowledge Structures
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
Brian R. Gaines
APIN
2000
124views more  APIN 2000»
13 years 9 months ago
Exception Handling in Workflow Systems
Abstract. In this paper, defeasible workflow is proposed as a framework to support exception handling for workflow management. By using the "justified" ECA rules to captu...
Zongwei Luo, Amit P. Sheth, Krys Kochut, John A. M...
ACL
2012
12 years 6 days ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
ICSE
2009
IEEE-ACM
14 years 4 months ago
Mining exception-handling rules as sequence association rules
Programming languages such as Java and C++ provide exception-handling constructs to handle exception conditions. Applications are expected to handle these exception conditions and...
Suresh Thummalapenta, Tao Xie
ECML
1987
Springer
14 years 1 months ago
Induction in Noisy Domains
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
Peter Clark, Tim Niblett