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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.
Analyses of statistical correlation between the datasets were performed using the GWR method as described above.
ML analyses of each datasets were performed using RAxML 7.0.3 (Stamatakis et al. 2008), with the GTR + Γ model of sequence evolution selected and the option of a rapid bootstrap analyses (1000 replicates) and a search for the best-scoring tree in a single program run.
Plasmode simulations and all analyses of real and plasmode datasets were performed on SAS 9.1.
Homology reductions within positive and negative datasets were performed with similarity threshold 70% between any two peptide sequences.
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Image retrieval and classification experiments on public datasets are performed.
The hydrological modeling evaluation of these datasets was performed over 424 basins from the MOPEX database.
Simulations experiments on synthetic datasets are performed to study the behavior of this generalized interaction index.
Subsequently, a joint inversion of the abovementioned three datasets was performed to determine the rupture process of the Gorkha earthquake.
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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