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» A Bayesian Metric for Evaluating Machine Learning Algorithms
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MOBISYS
2009
ACM
14 years 8 months ago
Sensor selection for energy-efficient ambulatory medical monitoring
Epilepsy affects over three million Americans of all ages. Despite recent advances, more than 20% of individuals with epilepsy never achieve adequate control of their seizures. Th...
Eugene Shih, Ali H. Shoeb, John V. Guttag
ISSTA
2007
ACM
13 years 9 months ago
Instrumenting where it hurts: an automatic concurrent debugging technique
As concurrent and distributive applications are becoming more common and debugging such applications is very difficult, practical tools for automatic debugging of concurrent appl...
Rachel Tzoref, Shmuel Ur, Elad Yom-Tov
KDD
2009
ACM
133views Data Mining» more  KDD 2009»
14 years 8 months ago
On the tradeoff between privacy and utility in data publishing
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...
Tiancheng Li, Ninghui Li
ICDE
2010
IEEE
263views Database» more  ICDE 2010»
14 years 7 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
TSMC
2008
116views more  TSMC 2008»
13 years 7 months ago
Fuzzy Techniques for Subjective Workload-Score Modeling Under Uncertainties
This paper deals with the development of a computer model to estimate the subjective workload score of individuals by evaluating their heart-rate (HR) signals. The identification o...
Mohit Kumar, D. Arndt, Steffi Kreuzfeld, Kerstin T...