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GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 7 months ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne
ICDT
2007
ACM
121views Database» more  ICDT 2007»
15 years 8 months ago
Compact Samples for Data Dissemination
We consider data dissemination in a peer-to-peer network, where each user wishes to obtain some subset of the available information objects. In most of the modern algorithms for su...
Tova Milo, Assaf Sagi, Elad Verbin
124
Voted
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 5 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
WWW
2007
ACM
16 years 2 months ago
A scalable application placement controller for enterprise data centers
Given a set of machines and a set of Web applications with dynamically changing demands, an online application placement controller decides how many instances to run for each appl...
Chunqiang Tang, Malgorzata Steinder, Mike Spreitze...
SC
2003
ACM
15 years 7 months ago
Traffic-based Load Balance for Scalable Network Emulation
Load balance is critical to achieving scalability for large network emulation studies, which are of compelling interest for emerging Grid, Peer to Peer, and other distributed appl...
Xin Liu, Andrew A. Chien