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GLOBECOM
2009
IEEE
15 years 10 months ago
A Fresh Look at Multicanonical Monte Carlo from a Telecom Perspective
—The Multicanonical Monte Carlo (MMC) technique is a new form of adaptive importance sampling (IS). Thanks to its blind adaptation algorithm, it does not require an in-depth syst...
Alberto Bononi, Leslie A. Rusch, Amirhossein Ghazi...
INFOCOM
2012
IEEE
13 years 6 months ago
CARPO: Correlation-aware power optimization in data center networks
—Power optimization has become a key challenge in the design of large-scale enterprise data centers. Existing research efforts focus mainly on computer servers to lower their ene...
Xiaodong Wang, Yanjun Yao, Xiaorui Wang, Kefa Lu, ...
COLT
2008
Springer
15 years 5 months ago
Adapting to a Changing Environment: the Brownian Restless Bandits
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
Aleksandrs Slivkins, Eli Upfal
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 4 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
CORR
2010
Springer
170views Education» more  CORR 2010»
15 years 3 months ago
Slow Adaptive OFDMA Systems Through Chance Constrained Programming
Adaptive orthogonal frequency division multiple access (OFDMA) has recently been recognized as a promising technique for providing high spectral efficiency in future broadband wire...
William Weiliang Li, Ying Jun Zhang, Anthony Man-C...