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ISESE
2006
IEEE
14 years 1 months ago
Identifying domain-specific defect classes using inspections and change history
We present an iterative, reading-based methodology for analyzing defects in source code when change history is available. Our bottom-up approach can be applied to build knowledge ...
Taiga Nakamura, Lorin Hochstein, Victor R. Basili
IJCNN
2000
IEEE
13 years 11 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
ALT
2011
Springer
12 years 7 months ago
On Noise-Tolerant Learning of Sparse Parities and Related Problems
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
Elena Grigorescu, Lev Reyzin, Santosh Vempala
IJCAI
1997
13 years 8 months ago
Mini-Buckets: A General Scheme for Generating Approximations in Automated Reasoning
The class of algorithms for approximating reasoning tasks presented in this paper is based on approximating the general bucket elimination framework. The algorithms have adjustabl...
Rina Dechter
ALT
2000
Springer
14 years 4 months ago
Learning Recursive Concepts with Anomalies
This paper provides a systematic study of inductive inference of indexable concept classes in learning scenarios in which the learner is successful if its final hypothesis describ...
Gunter Grieser, Steffen Lange, Thomas Zeugmann