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» A Machine Learning Approach for Statistical Software Testing
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ICML
2010
IEEE
13 years 8 months ago
Learning Programs: A Hierarchical Bayesian Approach
We are interested in learning programs for multiple related tasks given only a few training examples per task. Since the program for a single task is underdetermined by its data, ...
Percy Liang, Michael I. Jordan, Dan Klein
FSKD
2007
Springer
102views Fuzzy Logic» more  FSKD 2007»
13 years 9 months ago
Statistical and Fuzzy Approach for Database Security
A new type of database anomaly is described by addressing the concept of Cumulated Anomaly in this paper. Dubiety-Determining Model (DDM), which is a detection model basing on sta...
Gang Lu, Junkai Yi, Kevin Lü
ISSRE
2010
IEEE
13 years 5 months ago
Automating System Tests Using Declarative Virtual Machines
—Automated regression test suites are an essential software engineering practice: they provide developers with rapid feedback on the impact of changes to a system’s source code...
Sander van der Burg, Eelco Dolstra
AIR
2006
152views more  AIR 2006»
13 years 7 months ago
Machine learning: a review of classification and combining techniques
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panay...
NIPS
2007
13 years 8 months ago
Mining Internet-Scale Software Repositories
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...