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ICPR
2006
IEEE
14 years 9 months ago
Scalable Representative Instance Selection and Ranking
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...
Xindong Wu, Xingquan Zhu
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
14 years 8 months ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam
ISQED
2010
IEEE
120views Hardware» more  ISQED 2010»
14 years 2 months ago
Methodology from chaos in IC implementation
— Algorithms and tools used for IC implementation do not show deterministic and predictable behaviors with input parameter changes. Due to suboptimality and inaccuracy of underly...
Kwangok Jeong, Andrew B. Kahng
INFOCOM
2008
IEEE
14 years 2 months ago
Border Effects, Fairness, and Phase Transition in Large Wireless Networks
—We characterize the fairness of decentralized medium access control protocols based on CSMA/CA, such as IEEE 802.11, in large multi-hop wireless networks. In particular, we show...
Mathilde Durvy, Olivier Dousse, Patrick Thiran
ISPW
2008
IEEE
14 years 2 months ago
Accurate Estimates without Calibration?
Most process models calibrate their internal settings using historical data. Collecting this data is expensive, tedious, and often an incomplete process. Is it possible to make acc...
Tim Menzies, Oussama El-Rawas, Barry W. Boehm, Ray...