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However, existing social analytics methods often adopt coarse-grained and context-free sentiment analysis approaches.
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Furthermore, bagging and boosting are ensemble learning methods and often adopt to the imbalanced data set problem.
In order to achieve this goal, destructive (DT; e.g., cores) and non-destructive (NDT; e.g., ultrasonic, rebound) test methods are often adopted, either alone or combined.
The numerical analysis method such as Runge-Kutta method is often adopted to analyze the dynamics performance and dropping shock damage evaluation of the packaging systems [1 7].
Previous comparative genomics methods for genome-wide motif discovery often adopt a reference genome centric view by first searching for a motif site in the reference genome and then checking whether the sites are conserved in other species (Stark et al., 2007; Xie et al., 2005.
The first one covers statistical and other mathematical methods, which are often adopted for simplicity [1 3, 26, 27].
And they often adopt the policy views of their candidate.
Health economists often adopt Markov models to simulate intervention effects.
Studies on trios often adopt the percentage definition.
A method that is often adopted by the works dealing with global feature extraction is wavelet-based analysis.
Identification of such instances is likely to arise during more informal methods of assessment that are often adopted such as the reading of a participant's body language.
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