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ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
13 years 11 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
MOBIHOC
2009
ACM
14 years 8 months ago
Improved bounds on the throughput efficiency of greedy maximal scheduling in wireless networks
Due to its low complexity, Greedy Maximal Scheduling (GMS), also known as Longest Queue First (LQF), has been studied extensively for wireless networks. However, GMS can result in...
Mathieu Leconte, Jian Ni, Rayadurgam Srikant
MOBICOM
2010
ACM
13 years 8 months ago
Inferring and mitigating a link's hindering transmissions in managed 802.11 wireless networks
In 802.11 managed wireless networks, the manager can address under-served links by rate-limiting the conflicting nodes. In order to determine to what extent each conflicting node ...
Eugenio Magistretti, Omer Gurewitz, Edward W. Knig...
ICC
2009
IEEE
133views Communications» more  ICC 2009»
14 years 2 months ago
Reducing Average Power in Wireless Sensor Networks through Data Rate Adaptation
—The use of variable data rate can reduce network latency and average power consumption, and automatic rate selection is critical for improving scalability and minimizing network...
Steven Lanzisera, Ankur Mehta, Kristofer S. J. Pis...
SIGMETRICS
2010
ACM
201views Hardware» more  SIGMETRICS 2010»
14 years 16 days ago
Load balancing via random local search in closed and open systems
In this paper, we analyze the performance of random load resampling and migration strategies in parallel server systems. Clients initially attach to an arbitrary server, but may s...
Ayalvadi Ganesh, Sarah Lilienthal, D. Manjunath, A...