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In accordance with the definition above, we have measured the decentralization level of each province by analyzing their main formal documents for mergers and reorganizations and using the implementation schedules formulated by a number of prefectural (county) governments as reference (see Table 5).
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We used linear SVM, which has previously shown good results for QSAR modeling [33, 34], and used the implementation in Spark MLlib with L-BFGS for optimization because it works well with imbalanced datasets.
We constrain the volume from above and use the implementation to show that optimizations with dynamic meshes can save significant amounts of computational time compared to fixed meshes without introducing mesh dependence for the mesh topology.
HMMs were trained and decoded using the implementation written by A. Krogh (unpublished).
We also analyzed the maximum clade credibility tree under both priors, and using the likelihood implementation of the GMYC.
To accomplish it, we have harnessed the algorithm by Grosse-Kunstleve and Adams [50], using the implementation in spglib [51].
SIFT, SURF, RGBSIFT, STIP, and MFCC features were extracted using the implementations in [22, 24, 36, 40], and [41], respectively.
RMA and MAS5 data were produced using the implementations found in the 'affy' (Gautier et al, 2004) and 'simpleaffy' (Wilson and Miller, 2005) BioConductor packages.
To achieve this we optimize the function in Equation (9) and use the L-BFGS implementation from Mallet.
The quality of the project results depends to a large extent on the science and methodologies adopted in the design and used during the implementation of the projects.
Sequences were downloaded from GenBank and aligned using the ClustalX[18] implementation on the MEGA software[19].
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