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IJCAI
2003
13 years 9 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...
NFM
2011
225views Formal Methods» more  NFM 2011»
13 years 2 months ago
Synthesis for PCTL in Parametric Markov Decision Processes
Abstract. In parametric Markov Decision Processes (PMDPs), transition probabilities are not fixed, but are given as functions over a set of parameters. A PMDP denotes a family of ...
Ernst Moritz Hahn, Tingting Han, Lijun Zhang
ICML
2009
IEEE
14 years 2 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 7 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...
JCIT
2010
160views more  JCIT 2010»
13 years 2 months ago
TOPSIS Method for Multiple Attribute Decision Making with Incomplete Weight Information in Linguistic Setting
The aim of this paper is to investigate the multiple attribute decision making problems with linguistic information, in which the information about attribute weights is incomplete...
Jianli Wei