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» Tackling Large State Spaces in Performance Modelling
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CORR
2008
Springer
91views Education» more  CORR 2008»
13 years 7 months ago
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Namrata Vaswani
INFORMS
1998
142views more  INFORMS 1998»
13 years 7 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
CASES
2005
ACM
13 years 9 months ago
Optimizing stream programs using linear state space analysis
Digital Signal Processing (DSP) is becoming increasingly widespread in portable devices. Due to harsh constraints on power, latency, and throughput in embedded environments, devel...
Sitij Agrawal, William Thies, Saman P. Amarasinghe
NSDI
2004
13 years 9 months ago
Model Checking Large Network Protocol Implementations
Network protocols must work. The effects of protocol specification or implementation errors range from reduced performance, to security breaches, to bringing down entire networks....
Madanlal Musuvathi, Dawson R. Engler
ICRA
2002
IEEE
188views Robotics» more  ICRA 2002»
14 years 16 days ago
Hybrid Mobile Robot Localization using Switching State-Space Models
—This article describes a rigorous and complete framework for the simultaneous localization and map building problem for mobile robots: the symmetries and perturbations map (SPma...
Haris Baltzakis, Panos E. Trahanias