Alternating Minimisation for the Decomposition Model
An Alternating Bayesian Approach to PARAFAC Decomposition of Tensors
... PARAFAC decomposition of a tensor has been brought into the framework of Bayesian ...PARAFAC decomposition can be formulated as an alternating Bayesian filter by introduc- ing transition models into ...
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Alternating model trees
... an alternating model tree with IterativeClassif ierOptimizer in practice, the cross-validation estimate associated with the number of iteration it chooses can be used as an indicator of perfor- mance on new ...
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Bisimulation minimisation and probabilistic model checking
... State s 21 is labelled with elected. In most cases, the time to construct the lumped DTMC exceeds the time to model check the original DTMC. The initial state is the only state which has more than one outgoing ...
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AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models
... dual decomposition algorithms have been proposed to address the resulting LP problems, taking advantage of the underlying graph structure (Wainwright et ...dual decomposition (PSDD) algorithm of Komodakis ...
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A cost minimisation analysis in teledermatology: model based approach
... costs model where a majority of the unit costs were derived from a stan- dard value or were estimated from various ...The model-based approach to assess the costs of teledermatology contains several ...
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CiteSeerX — Decomposition Model
... complete decomposition model (CDM). The general decomposition model leads to an approximate decomposition because it has a residual ...complete decomposition model has ...
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Generalized generating function with tucker decomposition and alternating least squares for underdetermined blind identification
... the alternating least squares (ALS) ...Tucker decomposition is firstly applied to convert the original tensor to a lower- order core tensor, then the mixing matrix is obtained by decomposing the core tensor ...
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A High Accuracy Variant of The Iterative Alternating Decomposition Explicit Method for Solving The Heat Equation
... Abstract: We consider three level difference replacements of parabolic equations focusing on the heat equation in two space dimensions. Through a judicious splitting of the approximation, the scheme qualifies as an ...
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Alternating group lasso for block-term tensor decomposition with application to ECG source separation
... J. H. de M. Goulart, P. M. R. de Oliveira, R. C. Farias, V. Zarzoso, Senior Member, IEEE, and P. Comon, Fellow, IEEE Abstract—In some applications, blind source separation can be performed by computing an approximate ...
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Superstructure optimisation of a water minimisation network with a embedded multicontaminant electrodialysis model
... Mathematical Optimisation The mathematical programming approach of water networks is based on the optimisation of a network superstructure. The superstructure of a water network is a description of all possible feasible ...
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Alternating direction explicit and implicit methods for Schnackenberg model
... MATHEMATICAL MODEL A general class of nonlinear-diffusion system is in the form With homogenous Dirchlet or Neumann boundary condition on a bounded domain Ω , n≤3, with locally Lipschitz continuous ...
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Minimisation of Event Structures
... in the representation and thus to reduce the number of events, without altering the behaviour (modifications that “extend” the behaviour could be sensible in model generalisation, but this is not of interest ...
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Development of a doctor scheduling system: a constraint satisfaction and penalty minimisation scheduling model
... penalty minimisation scheduling model for meeting ‘hard constraints’ and minimises the cost of violating ‘soft constraints’, ...The model is managed to create a near optimal schedule with the minimal ...
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The 2 Extra Diagnosability of Alternating Group Graphs under the PMC Model and MM* Model
... School of Mathematics and Information Science, Henan Normal University, Xinxiang, China Abstract Diagnosability of a multiprocessor system is one important study topic. In 2015, Zhang et al. proposed a new measure for ...
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Comparative Study of the Adomian Decomposition Method and Alternating Direction Implicit (ADI) for the Resolution of the Problems of Advection Diffusion Reaction
... Adomian decomposition method (ADM), the finite differences method and the Alternating Direction Implicit method to esti- mate the advantages and the weakness of the above ...
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Hybrid variational model based on alternating direction method for image restoration
... variation model is widely used in image deblurring and denoising process with the features of protecting the image ...this model usually causes some staircase ...variation model. The new improved ...
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Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model
... Mumford–Shah model is a standard model in image segmentation, and due to its dif- ficulty, many approximations have been ...Proximal Alternating Linearized Mini- mization (PALM), with convergence ...
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Learning Dynamic Generator Model by Alternating Back-Propagation through Time
... the model from multiple examples with different appearances by using a 100-dimensional appearance ...the model using the Weizmann ac- tion dataset (Gorelick et ...the model as the one in Section 4.1, ...
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Cyclic plasticity model with multiplicative backstress decomposition
... additive decomposition of kinematic hardening, we introduce a directional variable which evolves like a back stress according to an Armstrong & Frederick rule, but instead of being added to the back stress as ...
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Streamflow Decomposition Based Integrated ANN Model
... streamflow model is ...SD-ANN model is compared to that of the feed-forward ANN model in terms of statistical indices such as coeffi- cient of correlation, coefficient of efficiency and root means ...
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