global model-based method
OESbathy version 1.0: a method for reconstructing ocean bathymetry with generalized continental shelf-slope-rise structures
... a method for reconstructing global ocean bathymetry that combines a standard plate cooling model for the oceanic lithosphere based on the age of the oceanic crust, global oceanic ...
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Robot Calibration Using Artificial Neural Networks
... Generally kinematic model-based calibration is considered as a global calibration method which improves robot accuracy across the whole volume of robot space, while non-parame[r] ...
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Newton based homotopy optimization method for solving global optimization problem
... can model the problem into equations and plot the graph so that we can easily find the maximum or minimum ...in global optimization there is no such general criterion for declaring that global ...
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A SON Solution for Sleeping Cell Detection Using Low-Dimensional Embedding of MDT Measurements
... a model-driven approach that makes use of mobile terminal as- sisted data gathering solution based on minimize drive testing (MDT) functionality [1] as specified by ...proposed method first maps ...
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A Novel Method for Ensemble of Surrogates Based on Global and Local Measures
... To evaluate the accuracy of an ensemble surrogate, the commonly used error measures are cross- validation error, prediction variance and mean square error (or root mean square error) (Zhou et al. 2011). As no additional ...
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Global Motion Model for Stereovision-Based Motion Analysis
... estimator. Based on the pre- sented model, global motion can be estimated more pre- cisely according with the spatial structure of the scene, which makes further motion analysis, such as real moving ...
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Optimal domain decomposition using the global sensitivity analysis-based metaheuristic algorithm
... output model evaluation. In order to calculate the variance-based sensitivity indicators from the given data, the scatter plot partitioning method can be utilized ...this method, a single set ...
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Broken Rotor Bar Fault Detection of Induction Motors Using a Joint Algorithm of Trust Region and Modified Bare-bones Particle Swarm Optimization
... detection method based on a global optimization algorithm is ...current model and a residual error function are designed to transform the fault parameter detection problem into a nonlinear ...
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Learning Multi Modality Features for Scene Classification of High Resolution Remote Sensing Images
... learning method has shown its high potential to in this domain, owing to its powerful learning ability of characterizing complex ...some global and local information of the HRRS ...explicit global ...
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Casalicchio, Giuseppe (2019): On benchmark experiments and visualization methods for the evaluation and interpretation of machine learning models. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... interpretability method, that is, whether the method accounts for local or global explanations (Doshi-Velez and Kim, ...contrast, global inter- pretability methods take into account all ...
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The residence time of water in the atmosphere revisited
... Accounting Model – 2 layers) (van der Ent, 2014, 2016) and 3D-T (3-Dimensional – Trajectories) (Tuinenburg, 2013) based on Dirmeyer and Brubaker ...ing method within a regional climate model ...
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Quasi-Static and Dynamic Behaviors of Helical Gear System with Manufacturing Errors
... of global and local contact ...A global finite element model and a par- tial finite element model are used to obtain the global flexibility matrix of potential contact points in the ...
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A Survey of Data Mining Clustering Analysis
... ABSTRACT: Clustering analysis is a collection of objects. It is used in various applications in the real world such as text mining, image processing, web mining, market research, pattern recognition, data analysis and so ...
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A NOVEL FILTER BASED PARTITIONING DECISION TREE MODEL FOR REAL TIME NETWORK SECURITY
... the global ontology generated which is describe classes, object properties and data type properties saved in the local triplestore, the next step of this approach consist of creating the corresponding relational ...
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Land Cover and Land Use Indicators: Review of available data
... of global land cover maps has been produced and released at 300m spatial resolution, with each epoch covering a 5-year period (2008-2012, 2003-2007, ...2003-2012 global land cover ...
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Evaluation of Implicit and Explicit Methods of Uncertainty Analysis on a Hydrological Modeling
... the model inputs due to the spatial scale difference (Huard and Mailhot, ...in model inputs propagates through the calibration process and causes biasedness in parameter ...in model prediction ...the ...
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Interpreting Nonlinear Black-box Models Globally: A Comparative Study of Different Techniques
... a model to explain the relationships be- tween input and output [RSG16, DK17], ...a model predicts from the input ...measure model performance quantitatively, choosing the best model ...
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Deformation Design Method Based on SBF Model
... Ontology coding. In order to complete the deformation between the two CAD models, we describe two different concepts with the product semantic expression language (PSRL) to determine whether two different CAD models are ...
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Robust Iris Verification Based on Local and Global Variations
... is based on utilizing Gaussian-Hermite moments of the extracted intensity signals and the second one [26] is founded on the position sequence of local sharp variation points obtained through a class of quadratic ...
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A Mixture Based Bayesian Model Averaging Method
... Bayesian model averaging (BMA) is a popular and powerful statistical method of taking account of uncertainty about model form or ...The method is applied to the daily exchange rate Euro to US ...
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