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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
16 years 12 days ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
ASPLOS
2004
ACM
15 years 5 months ago
Formal online methods for voltage/frequency control in multiple clock domain microprocessors
Multiple Clock Domain (MCD) processors are a promising future alternative to today’s fully synchronous designs. Dynamic Voltage and Frequency Scaling (DVFS) in an MCD processor ...
Qiang Wu, Philo Juang, Margaret Martonosi, Douglas...
ICCV
2009
IEEE
16 years 4 months ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
WWW
2010
ACM
15 years 6 months ago
Selecting skyline services for QoS-based web service composition
Web service composition enables seamless and dynamic integration of business applications on the web. The performance of the composed application is determined by the performance ...
Mohammad Alrifai, Dimitrios Skoutas, Thomas Risse
SIGMOD
1998
ACM
96views Database» more  SIGMOD 1998»
15 years 4 months ago
Wavelet-Based Histograms for Selectivity Estimation
Query optimization is an integral part of relational database management systems. One important task in query optimization is selectivity estimation, that is, given a query P, we ...
Yossi Matias, Jeffrey Scott Vitter, Min Wang