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» A General Framework for Large Scale Systems Development
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JMLR
2006
108views more  JMLR 2006»
15 years 6 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
ECLIPSE
2006
ACM
16 years 13 days ago
A focused learning environment for Eclipse
The support available in Eclipse to help software developers learn complex APIs and development tools is inadequate; the support is largely passive and the support typically opera...
Izzet Safer, Gail C. Murphy, Julie Waterhouse, Jin...
CIKM
2008
Springer
15 years 8 months ago
Towards privacy-preserving integration of distributed heterogeneous data
More and more applications rely heavily on large amounts of data in the distributed storages collected over time or produced by large scale scientific experiments or simulations. ...
Pawel Jurczyk, Li Xiong
EMSOFT
2005
Springer
16 years 2 hour ago
Using de-optimization to re-optimize code
The nature of embedded systems development places a great deal of importance on meeting strict requirements in areas such as static code size, power consumption, and execution tim...
Stephen Hines, Prasad Kulkarni, David B. Whalley, ...
OSDI
2008
ACM
16 years 6 months ago
Block Mason
The flexibility provided by hardware virtualization allows administrators to rapidly create, destroy, and migrate systems across physical hosts. Unfortunately, the storage systems...
Dutch T. Meyer, Brendan Cully, Jake Wires, Norman ...