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To utilize the obtained bottleneck information for job shop scheduling, we design a genetic algorithm which allocates more computational resources to the identified bottleneck machines by using a hybrid encoding scheme.
This means that bottleneck information were effective in dense network which may include many false interactions.
This result comes from high recall due to effective network search, as well as high precision due to proper use of bottleneck information during the network search.
However, this does not means that the proposed algorithm uses less bottleneck information, because prediction accuracy was also good for higher BC.
The proposed algorithm showed improved F1 score which comes from high recall due to effective network search, as well as high precision due to proper use of bottleneck information during the network search.
The prediction accuracy was even more improved over our previous work which used also bottleneck information of the PPI network, but showed limitation when predicting small-sized protein complex detection.
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PRP refers to a bottleneck of information processing that becomes evident when participants are required to respond to two signals (S1 and S2) presented in rapid succession.
On-chip networks are an important design paradigm to appease the interconnect bottleneck, where information is communicated among circuits within packets in an Internet-like fashion.
As science shows us, despite the brain's remarkable complexity and power, there's a bottleneck in information processing when it tries to perform two distinct tasks at once.
With respect to the dual-task information-processing model, the results showed that the central information-processing model would include a sequence model for tasks that use the same perception resource, causing a bottleneck in information processing.
In two experiments – using a dual-task design – we show that perceived error detection in the first task creates a bottleneck in information processing and delays the response selection of the second task.
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