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IJCAI
2003
15 years 1 months ago
Constructing Diverse Classifier Ensembles using Artificial Training Examples
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
Prem Melville, Raymond J. Mooney
AAAI
1996
15 years 1 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
ICTAI
2007
IEEE
15 years 6 months ago
A Tool for Portfolio Generation Using an Argumentation Based Decision Making Framework
In this paper, a tool that uses an argumentation based decision making framework is proposed for the construction of mutual fund portfolios. The argumentation framework is employe...
Nikolaos I. Spanoudakis, Konstantina Pendaraki
OR
2006
Springer
14 years 11 months ago
An AHP model for construction contractor prequalification
Given that contractor plays a critical role in any construction project, contractor selection constitutes key decision for public authorities. Prequalification, i.e. the eliminati...
K. P. Anagnostopoulos, A. P. Vavatsikos
TSMC
1998
132views more  TSMC 1998»
14 years 11 months ago
Decision support for vehicle dispatching using genetic programming
—Vehicle dispatching consists of allocating real-time service requests to a fleet of moving vehicles. In this paper, each vehicle is associated with a vector of attribute values...
Ilham Benyahia, Jean-Yves Potvin