Much more interestingly, simulations of scenarios not used for model design and implementation turned out to be surprisingly close to experimental and clinical observations.
On the other hand, that implementation turned out to be less suitable for genome-wide interaction analysis studies, due to the prohibitive computational burden.
Microsoft's implementation, it turns out, is quite similar to that of its competitors, though the company hasn't announced any pricing information yet.
While Hadoop is regularly presented as the canonical example of a MapReduce implementation, it turns out that there are significant differences between the theoretical principle of MapReduce described in Section 'An overview of MapReduce', and the real-life implementation of MapReduce in Apache Hadoop.
Considering the accuracy rate, computation cost problem and the ease of implementation, PCA-SVM turns out to be the best method for this purpose.
As it turns out, the implementation isn't quite that dynamic.
Due to the finite switching speed of neurons and amplifiers in the implementation of neural networks, it turns out that time delays should not be neglected; and therefore, the model of delayed cellular neural networks (DCNNs) is put forward, which is naturally of better realistic significance.
However the implementation scheme turned out to be defective from design.
But Let's Watch It! has beaten Fam to the gate with its own implementation of group video viewing, as it turns out.
To study this process evaluations are performed to recognize strong and weak aspects of an intervention, to explain observed (lack of) intervention effects, and to further improve an intervention prior to implementation, i.e. if an intervention turns out to be effective [ 16, 17].
