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ML
2008
ACM
101views Machine Learning» more  ML 2008»
13 years 8 months ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
AAAI
1998
13 years 10 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
TON
2008
135views more  TON 2008»
13 years 8 months ago
Measurement-based admission control at edge routers
Abstract-- It is very important to allocate and manage resources for multimedia traffic flows with real-time performance requirements in order to guarantee quality-of-service (QoS)...
Seung Yeob Nam, Sunggon Kim, Dan Keun Sung
CIAC
2010
Springer
275views Algorithms» more  CIAC 2010»
14 years 6 months ago
Online Cooperative Cost Sharing
The problem of sharing the cost of a common infrastructure among a set of strategic and cooperating players has been the subject of intensive research in recent years. However, mos...
Janina Brenner and Guido Schaefer
ICCAD
2004
IEEE
118views Hardware» more  ICCAD 2004»
14 years 5 months ago
Optimizing mode transition sequences in idle intervals for component-level and system-level energy minimization
New embedded systems offer rich power management features in the form of multiple operational and non-operational power modes. While they offer mechanisms for better energy effic...
Jinfeng Liu, Pai H. Chou