state-space based methods
Auxiliary likelihood based approximate Bayesian computation in state space models
... model is likely to be tractable enough to preclude the need for treatment via ABC, with the primary goal of this paper being the presentation of ABC methods in SSMs for which exact methods are essentially ...
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Hubness and Pollution: Delving into Cross Space Mapping for Zero Shot Learning
... Zero-shot methods in language, vision and other domains rely on a cross-space map- ping function that projects vectors from the relevant feature space ...word space (induced in an unsupervised ...
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Design of Classical and State Space Controller Using a Moving Coil Machine
... two methods of designing controllers among numerous approaches used in controller designs; the root locus method using the SISOTOOL in MATLAB and the state space ...classical methods this was ...
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Optimization methods for deadbeat control design: a state space approach
... closed-loop poles at the origin. According to the model-based design procedure of the compensator, and the fact that in practice all the mathematical models of real physical systems are subject to modelling ...
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I. INTRODUCTION HE system architecture design and proof of concept
... selection methods [2], [3], [4] require the calculation of objective ...is based on simulating the operation of the power ...extensive state space, therefore the genetic algorithms (GA), which ...
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Approximate Bayesian inference methods for stochastic state space models
... filtering based smoother as a special ...filtering based smoother estimate for small measurement ...series based linearization or standard sigma-point ...series based variational Gaussian ...
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An investigation of multibody system modelling and control analysis techniques for the development of advanced suspension systems in passenger cars
... of with analysis methods were used The ride control of an ideal active suspension system was addressed both based domain techniques, on frequency linear state space and using techniques [r] ...
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On extended state space constructions for monte carlo methods
... extended space and approximate the joint posterior distribution of and , denoted ...always based around a con- volution of local, component-wise updates, resulting in so called Gibbs samplers, ...
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Reliability analysis techniques explored through a communication network example
... non-state space based models which include reliability block diagrams, fault trees and reliability graphs and fault trees and the state space based mod- els which include ...
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Markov chain Monte Carlo methods for state space models with point process observations
... An alternative class of efficient MCMC methods consists of gradient- based methods, in which the gradient of the underlying distribution is used to assist large moves. A representative of this class ...
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Fast estimation methods for time series models in state-space form
... are based on subspace methods, see Van Overschee and De Moor (1996), Ljung (1999), or Favoreel et ...and state-space representations of the ...
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Development of a kinematic GNSS Acoustic positioning method based on a state space model
... typically based on static GNSS-Acoustic positioning ...positioning methods and (2) precise detection of vertical displacements can be achieved using multi-angled transponders and EKF-based GNSS- ...
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Data Computational Modelling of Multivariable Non-Stationary Noisy Linear Systems by MOESP_AOKI_VAR Algorithm
... the state-space of linear stochastic discrete multivariable non-stationary system; a computational process called MOESP_AOKI_VAR is proposed and implemented to achieve ...is based on the subspace ...
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Estimation in Non Linear Non Gaussian State Space Models with Precision Based Methods
... We have so far discussed two sampling schemes for e¢cient simulation from the conditional density p( j y; ): the MH and the ARMH algorithms with either a Gaussian or a t proposal. In performing a full Bayesian analysis, ...
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Volume 76: Automated Verification of Critical Systems 2018 (AVoCS 2018)
... zone- based methods that explore the reachable state space from the initial state, and SMT- based methods that perform backward search from the target ...exploration ...
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Time Varying Dimension Models
... The models used in this paper are all dynamic mixture models (see, e.g., Gerlach, Carter and Kohn, 2000 or Giordani and Kohn, 2008). An advan- tage of adopting a dynamic mixture framework is that e¢ cient methods ...
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Ontological evaluation of business models: comparing traditional and component-based paradigms in information systems re-engineering
... Abstract: The majority of current information systems were implemented using traditional paradigms which include business modeling techniques applied during the analysis phase such as Data Flow Diagrams and ...
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Improved Krylov-FSP Method for Solving the Chemical Master Equation
... in methods for directly approximating the probability distribution via the ...finite state projection (FSP) algorithm [1] was an early milestone on this direction, and many numerical methods for the ...
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The representation of space in the rat hippocampus as revealed using new computer-based methods
... dendritic branches. Accurate quantitative measurements have only recently become possible with the development of new methods in intracellular labelling and computer reconstruction. These methods have been ...
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Title: HISTOGRAM BASED COLOR IMAGE SEGMENTATION
... Abstract— Due to rapid growth in digital media, image processing become an important area of research. Image segmentation is a part of image processing steps. With the improvement in computer processing and increasing ...
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