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This architecture is based on multiple pairs of 'predictor' and 'controller' models that process feedforward and feedbackward sensorimotor information, respectively [28].
Powerful computers and software packages as R and WinBUGS are now common and Bayesian statistics theory is now commonly applied in the development of powerful algorithms and models that process data in new ways [22].
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Recent cloud-based intrusion detection techniques have predominantly employed the MapReduce model, an abstract programming model that processes large datasets on clusters of computers.
It is now well established in animal models that this process may fall short under certain circumstances, leading to abnormally persistent and potentially immunogenic apoptotic and necrotic cells.
He began conducting experiments to understand how humans perceive motion and then developed mathematical models that mimicked that process.
Thus, in future it might be interesting to develop Bayesian models that include processes of forgetting.
A new process model that facilitates process state and tracking error augmentation with further additional tuning is first proposed.
A Process Performance Model is a specific type of Calibrated Predictive Model that uses Process Performance Baselines (at least 2) to establish and quantify the relations between Measures.
Research using animal models that represent all processes of metastasis formation is essential.
Models that describe evolutionary processes must strike a balance between simplicity and detail.
In order to analyze a role for specific molecules in metastasis, animal models that represent human processes are required.
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