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ISER
1999
Springer
114views Robotics» more  ISER 1999»
15 years 8 months ago
Continuous Probabilistic Mapping by Autonomous Robots
In this paper, we present a new approach for continuous probabilistic mapping. The objective is to build metric maps of unknown environments through cooperation between multiple au...
Jesús Salido Tercero, Christiaan J. J. Pare...
DBSEC
2008
152views Database» more  DBSEC 2008»
15 years 5 months ago
An Attack Graph-Based Probabilistic Security Metric
To protect critical resources in today’s networked environments, it is desirable to quantify the likelihood of potential multi-step attacks that combine multiple vulnerabilities....
Lingyu Wang, Tania Islam, Tao Long, Anoop Singhal,...
ENTCS
2006
136views more  ENTCS 2006»
15 years 4 months ago
Automated Game Analysis via Probabilistic Model Checking: a case study
It has been recognised for some time that there are close links between the various logics developed for the analysis of multi-agent systems and the many game-theoretic models dev...
Paolo Ballarini, Michael Fisher, Michael Wooldridg...
IEICET
2010
113views more  IEICET 2010»
15 years 2 months ago
Probabilistic BPRRC: Robust Change Detection against Illumination Changes and Background Movements
This paper presents PrBPRRC (Probabilistic Bipolar Radial Reach Correlation), a change detection method that is robust against illumination changes and background movements. Most ...
Kentaro Yokoi
TFS
2011
239views Education» more  TFS 2011»
14 years 11 months ago
Systems Control With Generalized Probabilistic Fuzzy-Reinforcement Learning
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
William M. Hinojosa, Samia Nefti, Uzay Kaymak