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IJON
1998
158views more  IJON 1998»
13 years 7 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
DAC
2006
ACM
14 years 8 months ago
MARS-C: modeling and reduction of soft errors in combinational circuits
Due to the shrinking of feature size and reduction in supply voltages, nanoscale circuits have become more susceptible to radiation induced transient faults. In this paper, we pre...
Natasa Miskov-Zivanov, Diana Marculescu
BMCBI
2006
165views more  BMCBI 2006»
13 years 7 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
MICRO
2002
IEEE
117views Hardware» more  MICRO 2002»
13 years 7 months ago
Drowsy instruction caches: leakage power reduction using dynamic voltage scaling and cache sub-bank prediction
On-chip caches represent a sizeable fraction of the total power consumption of microprocessors. Although large caches can significantly improve performance, they have the potentia...
Nam Sung Kim, Krisztián Flautner, David Bla...
GLOBECOM
2008
IEEE
14 years 2 months ago
Optimized Opportunistic Multicast Scheduling over Cellular Networks
—The design of optimal opportunistic multicast scheduling (OMS) that maximizes the throughput of cellular networks is investigated. In a cellular network, the base station (BS) t...
Tze-Ping Low, Man-On Pun, C. C. Jay Kuo