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» An Anytime Algorithm for Decision Making under Uncertainty
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SOCIALCOM
2010
13 years 5 months ago
A Decision Theoretic Approach to Data Leakage Prevention
Abstract--In both the commercial and defense sectors a compelling need is emerging for rapid, yet secure, dissemination of information. In this paper we address the threat of infor...
Janusz Marecki, Mudhakar Srivatsa, Pradeep Varakan...
ENGL
2006
111views more  ENGL 2006»
13 years 7 months ago
Voice Recognition with Neural Networks, Type-2 Fuzzy Logic and Genetic Algorithms
We describe in this paper the use of neural networks, fuzzy logic and genetic algorithms for voice recognition. In particular, we consider the case of speaker recognition by analyz...
Patricia Melin, Jérica Urías, Daniel...
CIMCA
2008
IEEE
14 years 2 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
ATAL
2009
Springer
14 years 2 months ago
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties
How do we build multiagent algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human intera...
James Pita, Manish Jain, Fernando Ordó&ntil...
WAOA
2010
Springer
236views Algorithms» more  WAOA 2010»
13 years 5 months ago
The Power of Uncertainty: Bundle-Pricing for Unit-Demand Customers
We study an extension of the unit-demand pricing problem in which the seller may offer bundles of items. If a customer buys such a bundle she is guaranteed to get one item out of i...
Patrick Briest, Heiko Röglin