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» Optimal sampling from distributed streams
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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 7 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
IEEEPACT
2008
IEEE
14 years 1 months ago
Exploiting loop-dependent stream reuse for stream processors
The memory access limits the performance of stream processors. By exploiting the reuse of data held in the Stream Register File (SRF), an on-chip storage, the number of memory acc...
Xuejun Yang, Ying Zhang, Jingling Xue, Ian Rogers,...
UAI
2000
13 years 8 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
ICS
2010
Tsinghua U.
14 years 4 months ago
Space-Efficient Estimation of Robust Statistics and Distribution Testing
: The generic problem of estimation and inference given a sequence of i.i.d. samples has been extensively studied in the statistics, property testing, and learning communities. A n...
Steve Chien, Katrina Ligett, Andrew McGregor
TPDS
2010
155views more  TPDS 2010»
13 years 5 months ago
Streamline: An Optimal Distribution Algorithm for Peer-to-Peer Real-Time Streaming
—In this paper we propose and evaluate an overlay distribution algorithm for P2P, chunk-based, streaming systems over forest-based topologies. In such systems, the stream is divi...
Giuseppe Bianchi, Nicola Blefari-Melazzi, Lorenzo ...