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162
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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 4 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
129
Voted
EUROSYS
2007
ACM
16 years 23 days ago
Dynamic and adaptive updates of non-quiescent subsystems in commodity operating system kernels
Continuously running systems require kernel software updates applied to them without downtime. Facilitating fast reboots, or delaying an update may not be a suitable solution in m...
Kristis Makris, Kyung Dong Ryu
SIGECOM
2009
ACM
111views ECommerce» more  SIGECOM 2009»
15 years 10 months ago
A qualitative vickrey auction
Restricting the preferences of the agents by assuming that their utility functions linearly depend on a payment allows for the positive results of the Vickrey auction and the Vick...
Paul Harrenstein, Mathijs de Weerdt, Vincent Conit...
139
Voted
ICSOC
2007
Springer
15 years 9 months ago
Pattern Based SOA Deployment
Abstract. A key function of a Service Oriented Architecture is the separation between business logic and the platform of its implementation and deployment. Much of the focus in SOA...
William Arnold, Tamar Eilam, Michael H. Kalantar, ...
126
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...