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In contrast, SIFT, a widely used predictor of deleterious SAPs based on sequential features, has a prediction accuracy of 71.05% on the same dataset.
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The model based on sequential joint features of Aac, Sse and Acc outperformed any other pure sequential features-based model (Table 1).
Most traditional computational methods to classify SAPs are based on sequential or structural features.
Based on the theoretical analysis and the feature selection procedure based on Sequential Backward Selection (SBS), four statistical parameters,,, and responding to energy, correlation, contrast, and sum average, respectively, are chosen for texture features in the classification.
One model is based on sequential forward search scheme and the other employs genetic algorithms (GA) for feature selection.
Suzuki, K., Horiba, I. & Sugie, N. Linear-time connected-component labeling based on sequential local operations.
These methods are based on sequential Monte Carlo techniques ("particle filtering").
It uses Matlab software based on sequential running time.
PF is a sequential Monte Carlo methodology based on sequential importance sampling (SIS).
Most of the solutions are based on sequential methods that make inference according to current information.
The GB conversion method is based on sequential Bayesian tracking, using a GB formulation.
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