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CLIMA
2009
13 years 5 months ago
Argumentation-Based Preference Modelling with Incomplete Information
Abstract. No intelligent decision support system functions even remotely without knowing the preferences of the user. A major problem is that the way average users think about and ...
Wietske Visser, Koen V. Hindriks, Catholijn M. Jon...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin
ESANN
2008
13 years 9 months ago
K-nearest neighbours based on mutual information for incomplete data classification
Incomplete data is a common drawback that machine learning techniques need to deal with when solving real-life classification tasks. One of the most popular procedures for solving ...
Pedro J. García-Laencina, José-Luis ...
ATAL
2004
Springer
14 years 27 days ago
The Advantages of Compromising in Coalition Formation with Incomplete Information
This paper presents protocols and strategies for coalition formation with incomplete information under time constraints. It focuses on strategies for coalition members to distribu...
Sarit Kraus, Onn Shehory, Gilad Taase
SIGMOD
2007
ACM
225views Database» more  SIGMOD 2007»
14 years 7 months ago
From complete to incomplete information and back
Incomplete information arises naturally in numerous data management applications. Recently, several researchers have studied query processing in the context of incomplete informat...
Lyublena Antova, Christoph Koch, Dan Olteanu