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» Crafting Papers on Machine Learning
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125
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HPCA
2008
IEEE
16 years 4 months ago
Automated microprocessor stressmark generation
Estimating the maximum power and thermal characteristics of a processor is essential for designing its power delivery system, packaging, cooling, and power/thermal management sche...
Ajay M. Joshi, Lieven Eeckhout, Lizy Kurian John, ...
CHI
2004
ACM
16 years 4 months ago
Examining the robustness of sensor-based statistical models of human interruptibility
Current systems often create socially awkward interruptions or unduly demand attention because they have no way of knowing if a person is busy and should not be interrupted. Previ...
James Fogarty, Scott E. Hudson, Jennifer Lai
220
Voted
SIGMOD
2007
ACM
125views Database» more  SIGMOD 2007»
16 years 3 months ago
Optimizing mpf queries: decision support and probabilistic inference
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
Héctor Corrada Bravo, Raghu Ramakrishnan
122
Voted
ICDE
2010
IEEE
263views Database» more  ICDE 2010»
16 years 3 months ago
Managing Uncertainty of XML Schema Matching
Abstract-- Despite of advances in machine learning technologies, a schema matching result between two database schemas (e.g., those derived from COMA++) is likely to be imprecise. ...
Reynold Cheng, Jian Gong, David W. Cheung
147
Voted
SOSP
2007
ACM
16 years 14 days 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