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SIGMETRICS
2000
ACM
105views Hardware» more  SIGMETRICS 2000»
15 years 2 months ago
Using the exact state space of a Markov model to compute approximate stationary measures
We present a new approximation algorithm based on an exact representation of the state space S, using decision diagrams, and of the transition rate matrix R, using Kronecker algeb...
Andrew S. Miner, Gianfranco Ciardo, Susanna Donate...
SOCIALCOM
2010
14 years 7 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...
JELIA
2004
Springer
15 years 3 months ago
Hierarchical Decision Making by Autonomous Agents
Abstract. Often, decision making involves autonomous agents that are structured in a complex hierarchy, representing e.g. authority. Typically the agents share the same body of kno...
Stijn Heymans, Davy Van Nieuwenborgh, Dirk Vermeir
ICASSP
2011
IEEE
14 years 1 months ago
Reinforcement learning for energy-efficient wireless transmission
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
Nicholas Mastronarde, Mihaela van der Schaar
ICRA
2006
IEEE
134views Robotics» more  ICRA 2006»
15 years 3 months ago
Hierarchical Map Building and Planning based on Graph Partitioning
— Mobile robot localization and navigation requires a map - the robot’s internal representation of the environment. A common problem is that path planning becomes very ineffic...
Zoran Zivkovic, Bram Bakker, Ben J. A. Kröse