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ISESE
2006
IEEE
16 years 13 days 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
HPDC
2010
IEEE
15 years 7 months ago
ParaText: scalable text modeling and analysis
Automated analysis of unstructured text documents (e.g., web pages, newswire articles, research publications, business reports) is a key capability for solving important problems ...
Daniel M. Dunlavy, Timothy M. Shead, Eric T. Stant...
IDA
2006
Springer
15 years 6 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
JMLR
2010
106views more  JMLR 2010»
15 years 1 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
SIGMOD
2011
ACM
179views Database» more  SIGMOD 2011»
14 years 9 months ago
How soccer players would do stream joins
In spite of the omnipresence of parallel (multi-core) systems, the predominant strategy to evaluate window-based stream joins is still strictly sequential, mostly just straightfor...
Jens Teubner, René Müller