Minimum Squared Error and the Maximum a Posteriori (MAP)
Maximum a posteriori density estimation and the sparse grid combination technique
... for maximum a posteriori (map) estima- tion of the probability density function of an arbitrary, independent and identically distributed d-dimensional data ...
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Maximum–norm a posteriori error estimates for an optimal control problem
... A posteriori error estimators are computable quantities that depend only on the approx- imate solution and known ...a posteriori error analysis for standard finite element approximations of ...
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Maximum norm a posteriori error estimation for parabolic problems using elliptic reconstructions
... NATALIA KOPTEVA † AND TORSTEN LINSS ‡ Abstract. A semilinear second-order parabolic equation is considered in a regular and a sin- gularly perturbed regime. For this equation, we give computable a posteriori ...
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CiteSeerX — Maximum a posteriori Maximum Entropy Order Determination
... that Maximum a Posteriori Bayesian arguments, coupled with Maximum Entropy considerations, offer an operational and consistent model order selection scheme, competitive with the Minimum ...
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Maximum norm a posteriori error estimate for a 2d singularly perturbed semilinear reaction-diffusion problem
... Abstract. A singularly perturbed semilinear reaction-diffusion equation, posed in the unit square, is discretized on arbitrary nonuniform tensor-product meshes. We establish a second-order maximum norm a ...
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Word Embedding as Maximum A Posteriori Estimation
... using maximum a posteriori estimates, rather than aiming to characterize the full posterior distributions, which means that we can keep our models highly ...
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Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks
... the maximum independent set prob- lem and deeper sum-product networks learned from real- world ...a posteriori inference, and that further (theoretical and empirical) investigations are ...for ...
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Modified Maximum A Posteriori Algorithm For Iterative Decoding of Turbo codes
... [email protected] 3 [email protected] 4 [email protected] Abstract : Turbo codes are one of the most powerful error correcting codes. What makes these codes so powerful is the use of the so-called ...
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Word embedding as maximum a posteriori estimation
... 2016), maximum-margin embeddings (MM) (Jameel and Schock- aert 2017), both in their linear (denoted by L) and quadratic (denoted by Q) versions, SemanticVectors (SV) 22 (Widdows and Ferraro 2008), Singular Value ...
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Word Embedding as Maximum A Posteriori Estimation
... Various word embedding models have already been proposed in the lit- erature, including approaches inspired by neural language models, such as Skipgram (SG) and the Continuous Bag- of-Wo[r] ...
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Maximum a posteriori reconstructie voor digitale borsttomosynthese
... Pan, “Optimizing algorithm parameters based on a model observer detection task for image reconstruction in digital breast tomosynthesis”, in Nuclear Sci- ence Symposium and Medical Imagi[r] ...
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Globally Convergent Algorithms for Maximum a Posteriori Transmission Tomography
... Ollinger, “Maximum likelihood reconstruction of transmission images in emission computed tomography via the EM algorithm,” IEEE Trans. Ortega, Numerical Analysis: A Second Co[r] ...
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Parametric classification and variable selection by the minimum integrated squared error criterion
... In the variable selection experiment we considered a high dimensional variation on the first scenario. The covariates Xi again were drawn from one of two populations. To perform mode[r] ...
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The minimum omega squared-method of estimation
... Section 5.5 are directly relevant to the present location-scale model and therefore, we shall not discuss this issue here any further. Several open problems remain, in particular, we have not been able to establish any ...
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Minimum mean-squared error iterative successive parallel arbitrated decision feedback detectors for DS-CDMA systems
... This is an important feature of the proposed detectors as they can save considerable computational resources by operating with a lower number of turbo iterations. The last scenario, shown in Figs. 9, considers the ...
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Minimum mean-squared error iterative successive parallel arbitrated decision feedback detectors for DS-CDMA systems
... This is an important feature of the proposed detectors as they can save considerable computational resources by operating with a lower number of turbo iterations. The last scenario, shown in Figs. 9, considers the ...
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Detecting changes in time series of network graphs using minimum mean squared error and cumulative summation B
... and Minimum Mean Squared Error assume that the time series adheres to a mean-shift model, that is, a time series with an independent error ...
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A Posteriori Error Estimation for Predictive Models
... • (Quantity-of-Interest) A Posteriori error estimation is relatively mature mainly for elliptic problems. • Can provide both error estimates and error bounds (good for UQ)[r] ...
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A posteriori error covariances in variational data assimilation
... A posteriori error covariances in variational data assimilation ...the error of the optimal solution is derived through the statistical errors of the input data (background, observation, and model ...
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