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» Utility Elicitation as a Classification Problem
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ICML
2004
IEEE
16 years 3 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
108
Voted
INFOCOM
1998
IEEE
15 years 6 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
14 years 5 months 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
16 years 3 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...
148
Voted
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
15 years 6 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