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» Utility Elicitation as a Classification Problem
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ICML
2004
IEEE
14 years 10 months ago
Co-EM support vector learning
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
Ulf Brefeld, Tobias Scheffer
INFOCOM
1998
IEEE
14 years 2 months ago
Adaptive Resource Management for Flow-Based IP/ATM Hybrid Switching Systems
This paper addresses a fundamental problem in resource management for flow-based hybrid switching systems. Such systems aim at efficient transport of layer-3 connectionless IP traf...
Hao Che, San-qi Li, Arthur Y. M. Lin
PERVASIVE
2011
Springer
13 years 18 days ago
Disaggregated End-Use Energy Sensing for the Smart Grid
Most utility installed energy meters are primarily intended to support a utility's billing function. They report only the aggregate energy consumption of a home or business o...
Jon Froehlich, Eric Larson, Sidhant Gupta, Gabe Co...
ICIP
2009
IEEE
14 years 10 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
14 years 1 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood