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» A Machine Learning Approach for Statistical Software Testing
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PRL
2011
14 years 5 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
ECML
2005
Springer
15 years 7 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
ISSRE
2007
IEEE
15 years 3 months ago
Using In-Process Testing Metrics to Estimate Post-Release Field Quality
In industrial practice, information on the software field quality of a product is available too late in the software lifecycle to guide affordable corrective action. An important ...
Nachiappan Nagappan, Laurie Williams, Mladen A. Vo...
ICALT
2007
IEEE
15 years 8 months ago
Finding the Right Tool for the Community: Bringing a Wiki-Type Editor to the World of Reusable Learning Objects
In this paper we present a new approach to enabling pedagogically sound reuse and re-purposing of online learning objects in a community of practice. The lack of specific software...
Chu Wang, Hugh C. Davis, Kate Dickens, Gary Wills,...
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ICML
2010
IEEE
15 years 3 months ago
Generalizing Apprenticeship Learning across Hypothesis Classes
This paper develops a generalized apprenticeship learning protocol for reinforcementlearning agents with access to a teacher who provides policy traces (transition and reward obse...
Thomas J. Walsh, Kaushik Subramanian, Michael L. L...