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Image retrieval and classification experiments on public datasets are performed.
Simulations experiments on synthetic datasets are performed to study the behavior of this generalized interaction index.
Experiments on synthetic data and SRBCT, DLBCL and brain tumor gene expression datasets are performed to test and evaluate the proposed method.
Extensive experiments on two web image datasets are performed and the results illustrate that our method is promising for large-scale web image annotation.
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Experiments on high-dimensional microarray datasets were performed, and the best performance was obtained with our approaches compared with well-known feature selection methods for Support Vector Machines.
More than three hundred different datasets were performed and corresponding cuttings bed thickness values were obtained.
The hydrological modeling evaluation of these datasets was performed over 424 basins from the MOPEX database.
Analyses of statistical correlation between the datasets were performed using the GWR method as described above.
Subsequently, a joint inversion of the abovementioned three datasets was performed to determine the rupture process of the Gorkha earthquake.
Plasmode simulations and all analyses of real and plasmode datasets were performed on SAS 9.1.
Quantitation and image-processing of the x-ray fluorescence (XRF) datasets was performed with MAPS software (25).
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