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Mixture model / Expectation–maximization algorithm / Dirichlet process / Bernoulli distribution / Variational Bayesian methods / Statistics / Cluster analysis / Machine learning


Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development Diane J. Hu1 , Laurens van der Maaten1,2 , Youngmin Cho1 , Lawrence K. Saul1 , Sorin Lerner1 1 Dept. of Computer Science & Engin
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Document Date: 2015-06-09 09:51:41

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Company

CVS / /

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Facility

Delft University of Technology / University of California / /

IndustryTerm

software engineering / large software projects / software developers / large open-source systems / code versioning systems / web interfaces / software developer / frequent itemset mining / automated tools / software systems / open-source software systems / /

Organization

Pattern Recognition & Bioinformatics Lab / Delft University of Technology / University of California / San Diego / /

Position

software developer / /

Product

Pentax K-x Digital Camera / /

ProgrammingLanguage

R / XML / /

ProvinceOrState

California / /

Technology

FIM algorithm / XML / Bioinformatics / Apriori algorithm / EM algorithm / /

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