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CLIMA
2009
14 years 7 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...
EDM
2009
147views Data Mining» more  EDM 2009»
14 years 7 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
CIKM
2010
Springer
14 years 7 months ago
Modeling reformulation using passage analysis
Query reformulation modifies the original query with the aim of better matching the vocabulary of the relevant documents, and consequently improving ranking effectiveness. Previou...
Xiaobing Xue, W. Bruce Croft, David A. Smith
ICTAI
2010
IEEE
14 years 7 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
IS
2010
14 years 7 months ago
Multicriteria reinforcement learning based on a Russian doll method for network routing
The routing in communication networks is typically a multicriteria decision making (MCDM) problem. However, setting the parameters of most used MCDM methods to fit the preferences ...
Alain Pétrowski, Farouk Aissanou, Ilham Ben...