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» A distributed machine learning framework
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191
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SOSP
2007
ACM
16 years 3 months ago
/*icomment: bugs or bad comments?*/
Commenting source code has long been a common practice in software development. Compared to source code, comments are more direct, descriptive and easy-to-understand. Comments and...
Lin Tan, Ding Yuan, Gopal Krishna, Yuanyuan Zhou
167
Voted
CSCW
2010
ACM
16 years 3 months ago
Are you having difficulty?
It would be useful if software engineers/instructors could be aware that remote team members/students are having difficulty with their programming tasks. We have developed an appr...
Jason Carter, Prasun Dewan
154
Voted
RECSYS
2009
ACM
16 years 26 days ago
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
Akhmed Umyarov, Alexander Tuzhilin
ECTEL
2007
Springer
16 years 16 days ago
Reflections on Digital Literacy
Parallel to the societal diffusion of digital technologies, the debate on their impacts and requirements has created terms like ICT literacy, digital literacy or digital competenc...
Harald Gapski
235
Voted
MSR
2006
ACM
16 years 9 days ago
Predicting defect densities in source code files with decision tree learners
With the advent of open source software repositories the data available for defect prediction in source files increased tremendously. Although traditional statistics turned out t...
Patrick Knab, Martin Pinzger, Abraham Bernstein