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IJCAI
2007
15 years 6 months ago
A Machine Learning Approach for Statistical Software Testing
Some Statistical Software Testing approaches rely on sampling the feasible paths in the control flow graph of the program; the difficulty comes from the tiny ratio of feasible p...
Nicolas Baskiotis, Michèle Sebag, Marie-Cla...
AIPS
2006
15 years 6 months ago
Lessons Learned in Applying Domain-Independent Planning to High-Speed Manufacturing
Much has been made of the need for academic planning research to orient towards real-world applications. In this paper, we relate our experience in adapting domain-independent pla...
Minh Binh Do, Wheeler Ruml
AAAI
1997
15 years 6 months ago
The Sounds of Silence: Towards Automated Evaluation of Student Learning in a Reading Tutor that Listens
1 We propose a paradigm for ecologically valid, authentic, unobtrusive, automatic, data-rich, fast, robust, and sensitive evaluation of computer-assisted student performance. We i...
Jack Mostow, Gregory Aist
IDA
2006
Springer
15 years 4 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...
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JMLR
2008
104views more  JMLR 2008»
15 years 4 months ago
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
Giorgio Corani, Marco Zaffalon