Bayesian framework
Predicting fatigue damage in composites : a Bayesian framework
... full Bayesian framework is applied to damage data for sixteen quasi- isotropic open-hole S2-glass laminates subject to constant amplitude tension-tension fatigue ...this framework can be used to ...
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A Bayesian framework for extracting human gait using strong prior knowledge
... consistent Bayesian framework for addressing the important and well- studied problem of human gait extraction from video sequences, and established the utility of the method by applying it to biometric ...
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Numerical Simulation Of A Highly Maneuvering Target In 2D Using The Bayesian Framework
... A filtering algorithm has a dynamic model and a measurement model. The dynamic model describes the motion of the target and the measurement model describes the relationship of the measurement on the target state and ...
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A Bayesian Framework for Probabilistic Seismic Fragility Assessment of Structures.
... a Bayesian framework to develop fragility surfaces simultaneously considering four different ground motion intensity parameters instead of just the PGA and applied it to geotechnical ...used Bayesian ...
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Visual saliency detection for RGB-D images under a Bayesian framework
... a Bayesian framework with higher accuracy to resolve the ...the Bayesian fusion performs favourably compared with the linear fusion and the weighting method, with higher precision and recall on the ...
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DSGE Model Evaluation in a Bayesian Framework: an Assessment
... where all coe¢cients are convolutions of the structural parameters in the model included in the vector : Of course the theoretical model imposes some restrictions on the VAR, that can be tested by evaluating them against ...
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A Signal Decomposition Model-Based Bayesian Framework for ECG Components Separation
... model-based Bayesian framework ...this framework, the ECG is represented as the sum of several components, each describing a specific wave ...another framework recently introduced with the ...
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A wavelet based Bayesian framework for 3D object segmentation in microscopy
... In this paper, we introduce a Bayesian model for segmenting 3D synaptic objects from a given stack of specimen image slices captured using a fluorescent confocal microscope. The key intra-slice wavelet-likelihood ...
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Semantic Analysis of Facial Gestures from Video Using a Bayesian Framework
... a Bayesian network, fusion of vocal and visual cues and, finally, mapping of classification results to high-level ...A Bayesian network can then be utilized to analyze these features and interpret facial ...
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Proteochemometric modeling in a Bayesian framework
... of their contribution to bioactivity (see Results and Discussion). The efficiency of these fingerprints to iden- tify chemical features relevant for bioactivity has been previously demonstrated [16,44]. Pairwise compound ...
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A Bayesian Framework for the Analysis of the Peroxisome Proliferator-Activated Receptor Signaling Pathway.
... of Bayesian inference is the explicit role that the probability model serves in quantifying uncertainty during the analysis process and for summarizing the results through a probability distribution on the ...
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A Bayesian framework for estimating the incremental value of a diagnostic test in the absence of a gold standard
... a Bayesian approach to estimate the probability of the unknown disease status via a latent class model and extend two commonly-used measures of incremental value based on predictive values [difference in the area ...
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Planetary micro-rover operations on Mars using a Bayesian framework for inference and control
... in Bayesian programming generally relies on the concept of log- ical ...probabilistic framework is repre- sented by a value assignment for a discrete random variable X = x or several discrete random ...with ...
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Back calculating the incidence of infection of leprosy in a Bayesian framework
... The effort parameters are therefore dependent upon the specific time period distribution used, which in our case would reflect the predominant health care system at the time of diagnosis[r] ...
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A Bayesian framework for modeling intuitive dynamics
... single framework for explaining two types of judgments that people make about the dynamics of objects, based on Bayesian ...this framework, we define a particular model of dynamics – essentially ...
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SentiMerge: Combining Sentiment Lexicons in a Bayesian Framework
... Many approaches to sentiment analysis rely on a lexicon that labels words with a prior polarity. This is particularly true for languages other than English, where labelled training data is not easily available. Existing ...
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A Robotic CAD System using a Bayesian Framework
... We present in this paper a Bayesian CAD system for robotic applications. We address the problem of the propagation of geometric uncertainties and how esian CAD system for robotic applications. We address the ...
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Towards a Bayesian Framework for Optical Tomography
... Other algorithms. A variety of numerical optimisation algorithms have been proposed for Opti cal Tomography. For a general framework of iterative methods see Arridge [15]. Earlier methods used the ...
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A Bayesian Framework for Learning Rule Sets for Interpretable Classification
... a framework that discovers relationships between user context and services using association ...consider Bayesian predictive models for context aware recommender systems to ...
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A Goal-Directed Bayesian Framework for Categorization
... Our model has clear implications for research in the laboratory – and here we present some key empirical predictions. First, our model accounts for the evidence that living creatures can learn categories from repeated ...
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