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» A Machine Learning Approach for Statistical Software Testing
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PRL
2011
14 years 17 days 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 3 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
14 years 11 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 4 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,...
ICML
2010
IEEE
14 years 10 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...