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Forward Model Nonlinearity versus Inverse Model Nonlinearity

Groundwater, 2007
Abstract The issue of concern is the impact of forward model nonlinearity on the nonlinearity of the inverse model. The question posed is, “Does increased nonlinearity in the head solution (forward model) always result in increased nonlinearity in the inverse solution (estimation of hydraulic conductivity)?” It is shown that the two ...
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Model-reduced inverse modeling

2006
Although faster computers have been developed in recent years, they tend to be used to solve even more detailed problems. In many cases this will yield enormous models that can not be solved within acceptable time constraints. Therefore, there is a need for alternative methods that simulate such models more efficiently ans conserve the detailed ...
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Inverse Stereographic Gaussian DAG Models

Directed acyclic graphical models are statistical models that use a directed acyclic graph (DAG) to represent the conditional independence structure of a set of random variables. We introduce a new class of DAG models tailored for circular variables having an Inverse Stereographic Normal distribution.
Anna Gottard, Agnese Panzera
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Calibrating Models – Inverse Problems

2013
In the previous chapters we studied several model choices to describe stock price and interest rate dynamics. When using models to valuate derivatives or to obtain a hedging strategy, the used parameters will greatly impact the results. While there is broad agreement of how to model many problems in physics (such as the thermal conductivity of copper ...
Hansjoerg Albrecher   +3 more
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Colored Inversion and Acoustic Model-based Inversion Techniques.

Proceedings, 2015
In this study was used Colored and Acoustic post-stack seismic inversion techniques. Five horizons from the reservoir zone were interpreted to determine geological inputs for the model. Well-log data was used to build synthetic traces which were then tied to the real seismic data.
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Inverse Modeling

1999
Margaret Lessenger, Ian Lerche
openaire   +1 more source

Inverse Modeling and Validation

2016
The ‘inverse’ model solves the IOPs (or concentrations of optically active water constituents) from reflectance measured at the top of the atmosphere by remote sensors or from in situ measurements of reflectance. Inversion approaches for the retrieval of water-quality parameters from remotely sensed data are typically divided into two categories ...
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Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

ISPRS Journal of Photogrammetry and Remote Sensing, 2020
Daniel Heestermans Svendsen   +2 more
exaly  

Label-Only Model Inversion Attacks: Attack With the Least Information

IEEE Transactions on Information Forensics and Security, 2023
Tianqing Zhu, Dayong Ye, Shuai Zhou
exaly  

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