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A high-level description of our improved algorithm is available in Tables 2 and 3. We are able to prove that the statistical behaviors of the Sieve algorithm are the same as the naive algorithm where each candidate is decided one by one, sequentially.
Afterwards, a built-in classifier under the chaos games representation algorithm is used to sieve the best possible candidate gene.
"This algorithm is beautiful".
Baseline algorithm is the standard compression algorithm.
By using the re-sampling approach of the Sieve algorithm, the execution time is drastically reduced (Figure 2B) without any notable loss of precision (Figure 2A).
We can sieve out the suitable training samples to obtain good performance of the controllers, and the neural network with genetic algorithms is used to design the controller.
The AGA and Lyapunov algorithms were utilized to sieve out the global energy minimum approach from the numerous, raw docking sites.
The Sieve algorithm we have developed greatly improves the efficiency with which infection events can be generated across large numbers of similar risk pairs.
Note that our Sieve algorithm decides a set of candidates in a batch.
