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» Models for Incomplete and Probabilistic Information
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ISNN
2009
Springer
14 years 1 months ago
A New Instance-Based Label Ranking Approach Using the Mallows Model
In this paper, we introduce a new instance-based approach to the label ranking problem. This approach is based on a probability model on rankings which is known as the Mallows mode...
Weiwei Cheng, Eyke Hüllermeier
KDD
1995
ACM
182views Data Mining» more  KDD 1995»
13 years 11 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
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
ATAL
2004
Springer
14 years 24 days ago
Automated Multi-Attribute Negotiation with Efficient Use of Incomplete Preference Information
This paper presents a model for integrative, one-to-one negotiation in which the values across multiple attributes are negotiated simultaneously. We model a mechanism in which age...
Catholijn M. Jonker, Valentin Robu
WINE
2005
Springer
107views Economy» more  WINE 2005»
14 years 26 days ago
Price of Anarchy of Network Routing Games with Incomplete Information
We consider a class of networks where n agents need to send their traffic from a given source to a given destination over m identical, non-intersecting, and parallel links. For suc...
Dinesh Garg, Yadati Narahari