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KDD
2007
ACM
142views Data Mining» more  KDD 2007»
16 years 6 months ago
Towards Privacy-Preserving Model Selection
Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
HPCA
2008
IEEE
16 years 6 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
ICSE
2005
IEEE-ACM
16 years 5 months ago
Global software development at siemens: experience from nine projects
We report on the experiences of Siemens Corporation in nine globally-distributed software development projects. These projects represent a range of collaboration models, from co-d...
James D. Herbsleb, Daniel J. Paulish, Matthew Bass
ICFP
2008
ACM
16 years 5 months ago
Experience report: erlang in acoustic ray tracing
We investigated the relative merits of C++ and Erlang in the implementation of a parallel acoustic ray tracing algorithm for the U.S. Navy. We found a much smaller learning curve ...
Christian Convey, Andrew Fredricks, Christopher Ga...
PERCOM
2008
ACM
16 years 5 months ago
Data-centric middleware for context-aware pervasive computing
The complexity of developing and deploying context-aware pervasive-computing applications calls for distributed software infrastructures that assist applications to collect, aggre...
Guanling Chen, Ming Li, David Kotz