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IDA
2010
Springer
13 years 8 months ago
Clustering with feature order preferences
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...
Jun Sun, Wenbo Zhao, Jiangwei Xue, Zhiyong Shen, Y...
ICML
2005
IEEE
14 years 10 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
DASFAA
2009
IEEE
129views Database» more  DASFAA 2009»
14 years 4 months ago
Towards Preference-Constrained k-Anonymisation
Abstract. In this paper, we propose a novel preference-constrained approach to k-anonymisation. In contrast to the existing works on kanonymisation which attempt to satisfy a minim...
Grigorios Loukides, Achilles Tziatzios, Jianhua Sh...
ECSQARU
2009
Springer
14 years 4 months ago
Local Computation Schemes with Partially Ordered Preferences
Many computational problems linked to reasoning under uncertainty can be expressed in terms of computing the marginal(s) of the combination of a collection of (local) valuation fun...
Hélène Fargier, Nic Wilson
ICONS
2008
IEEE
14 years 4 months ago
Using User Preferences to Enhance Privacy in Pervasive Systems
With the increasing interest in developing pervasive computing technologies there is growing recognition of the problems of maintaining user privacy. In the Daidalos pervasive sys...
Elizabeth Papadopoulou, Sarah McBurney, Nick K. Ta...