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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 9 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
SIGCOMM
2009
ACM
14 years 3 months ago
Cross-layer wireless bit rate adaptation
This paper presents SoftRate, a wireless bit rate adaptation protocol that is responsive to rapidly varying channel conditions. Unlike previous work that uses either frame recepti...
Mythili Vutukuru, Hari Balakrishnan, Kyle Jamieson
TEC
2010
191views more  TEC 2010»
13 years 3 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
SPAA
2004
ACM
14 years 2 months ago
Adaptive channel queue routing on k-ary n-cubes
This paper introduces a new adaptive method, Channel Queue Routing (CQR), for load-balanced routing on k-ary n-cube interconnection networks. CQR estimates global congestion in th...
Arjun Singh, William J. Dally, Amit K. Gupta, Bria...
DSN
2008
IEEE
14 years 3 months ago
A robust and lightweight stable leader election service for dynamic systems
We describe the implementation and experimental evaluation of a fault-tolerant leader election service for dynamic systems. Intuitively, distributed applications can use this serv...
Nicolas Schiper, Sam Toueg