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» Learning Preferences for Multiclass Problems
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ICDE
2008
IEEE
189views Database» more  ICDE 2008»
14 years 3 months ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...
SEAL
1998
Springer
14 years 1 months ago
A Hybrid Tabu Search Algorithm for the Nurse Rostering Problem
Abstract. This paper deals with the problem of nurse rostering in Belgian hospitals. This is a highly constrained real world problem that was (until the results of this research we...
Edmund K. Burke, Patrick De Causmaecker, Greet Van...
ICONS
2008
IEEE
14 years 3 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...
KDD
2008
ACM
110views Data Mining» more  KDD 2008»
14 years 9 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 9 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith