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» An Anytime Algorithm for Decision Making under Uncertainty
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CONSTRAINTS
2006
70views more  CONSTRAINTS 2006»
13 years 10 months ago
Stochastic Constraint Programming: A Scenario-Based Approach
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Armagan Tarim, Suresh Manandhar, Toby Walsh
SICHERHEIT
2010
13 years 7 months ago
A Fuzzy Model for IT Security Investments
: This paper presents a fuzzy set based decision support model for taking uncertainty into account when making security investment decisions for distributed systems. The proposed m...
Guido Schryen
JCIT
2010
148views more  JCIT 2010»
13 years 4 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
IJCAI
2007
13 years 11 months ago
State Space Search for Risk-Averse Agents
We investigate search problems under risk in statespace graphs, with the aim of finding optimal paths for risk-averse agents. We consider problems where uncertainty is due to the...
Patrice Perny, Olivier Spanjaard, Louis-Xavier Sto...
ECAI
2006
Springer
14 years 1 months ago
Possibilistic Influence Diagrams
Abstract. In this article we present the framework of Possibilistic Influence Diagrams (PID), which allow to model in a compact form problems of sequential decision making under un...
Laurent Garcia, Régis Sabbadin