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IJCAI
2003
13 years 10 months ago
Incremental Utility Elicitation with the Minimax Regret Decision Criterion
Utility elicitation is a critical function of any automated decision aid, allowing decisions to be tailored to the preferences of a specific user. However, the size and complexit...
Tianhan Wang, Craig Boutilier
IMSCCS
2006
IEEE
14 years 2 months ago
Intelligent Decision Making for Agreement-based Grid Resource Management
Agreement-based resource management is becoming the foundation of grid system. Since the grid resource management encompasses a wide range of different scenarios, the decision mak...
Rui Liu, Weimin Zheng, Yongwei Wu
IJCAI
2003
13 years 10 months ago
Qualitative Decision under Uncertainty: Back to Expected Utility
Different qualitative models have been proposed for decision under uncertainty in Artificial Intelli­ gence, but they generally fail to satisfy the princi­ ple of strict Pareto ...
Hélène Fargier, Régis Sabbadi...
ICML
2009
IEEE
14 years 3 months ago
Decision tree and instance-based learning for label ranking
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This paper introduces new methods for label ra...
Weiwei Cheng, Jens C. Huhn, Eyke Hüllermeier
ICASSP
2010
IEEE
13 years 9 months ago
A statistical model-based double-talk detection incorporating soft decision
In this paper, we propose a novel double-talk detection (DTD) technique based on a soft decision in the frequency domain. The proposed method provides an efficient procedure to d...
Yun-Sik Park, Ji-Hyun Song, Sang-Ick Kang, Woojung...