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KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 5 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
CORR
2007
Springer
120views Education» more  CORR 2007»
15 years 23 days ago
Distributed Fair Scheduling Using Variable Transmission Lengths in Carrier-Sensing-based Wireless Networks
— The fairness of IEEE 802.11 wireless networks (including Wireless LAN and Ad-hoc networks) is hard to predict and control because of the randomness and complexity of the MAC co...
Libin Jiang, Jean C. Walrand
93
Voted
CORR
2004
Springer
92views Education» more  CORR 2004»
15 years 19 days ago
Tycoon: an Implementation of a Distributed, Market-based Resource Allocation System
Distributed clusters like the Grid and PlanetLab enable the same statistical multiplexing efficiency gains for computing as the Internet provides for networking. One major challen...
Kevin Lai, Lars Rasmusson, Eytan Adar, Stephen Sor...
113
Voted
AINA
2009
IEEE
15 years 7 months ago
A Topology Control Protocol for 2D Poisson Distributed Wireless Sensor Networks
—Topology control in a wireless sensor network is useful for ensuring that the network remains connected in the presence of nodes that exhaust their energy or become altogether d...
Waltenegus Dargie, Alexander Schill, Rami Mochaour...
INFOCOM
2008
IEEE
15 years 7 months ago
Robust Distributed Spectrum Sensing in Cognitive Radio Networks
Abstract—Distributed spectrum sensing (DSS) enables a Cognitive Radio (CR) network to reliably detect licensed users and avoid causing interference to licensed communications. Th...
Ruiliang Chen, Jung Min Park, Kaigui Bian