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» How to Dynamically Merge Markov Decision Processes
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JSAC
2010
107views more  JSAC 2010»
14 years 8 months ago
Online learning in autonomic multi-hop wireless networks for transmitting mission-critical applications
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
Hsien-Po Shiang, Mihaela van der Schaar
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...
IFIP13
2004
14 years 11 months ago
Analysing Dynamic Function Scheduling Decisions
: Function allocation, as a process used in the construction of dependable complex systems, is a significant aspect of the design and implementation of interactive systems. It invo...
Karsten Loer, Michael Hildebrandt, Michael D. Harr...
AAAI
2011
13 years 9 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
99
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CVPR
2006
IEEE
15 years 11 months ago
Activity Analysis in Microtubule Videos by Mixture of Hidden Markov Models
We present an automated method for the tracking and dynamics modeling of microtubules -a major component of the cytoskeleton- which provides researchers with a previously unattain...
Alphan Altinok, Motaz A. El Saban, Austin J. Peck,...