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» Learning for Semantic Parsing
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TSE
2008
129views more  TSE 2008»
13 years 8 months ago
Classifying Software Changes: Clean or Buggy?
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001
CORR
2002
Springer
133views Education» more  CORR 2002»
13 years 8 months ago
Complete Axiomatizations for Reasoning About Knowledge and Time
Sound and complete axiomatizations are provided for a number of different logics involving modalities for knowledge and time. These logics arise from different choices for various ...
Joseph Y. Halpern, Ron van der Meyden, Moshe Y. Va...
SAC
2008
ACM
13 years 8 months ago
Pattern ranking for semi-automatic ontology construction
When developing semantic applications, the construction of ontologies is a crucial part. We are developing a semiautomatic ontology construction approach, OntoCase, relying on ont...
Eva Blomqvist
JUCS
2010
116views more  JUCS 2010»
13 years 7 months ago
Content Recommendation in APOSDLE using the Associative Network
: One of the success factors of Work Integrated Learning (WIL) is to provide the appropriate content to the users, both suitable for the topics they are currently working on, and t...
Hermann Stern, Rene Kaiser, Philip Hofmair, Peter ...
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
13 years 7 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...