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Table 2 Selecting DsIncr size for incremental model building (repeated 20 times, mean values reported) DsIncr (K) Iterations Accu.
We introduced the core algorithms for incremental model selection and for the merge and split scheme in [21,22].
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Indeed, the most promising advantage of incremental model is its computational performance for optimizing gas network operations.
Therefore, the parameter forms of C1 and C2 will determine 2C model not only for its STC model, but also for its incremental model.
In this paper, we propose a new learning approach for designing an incremental model that has a cascade learning structure combined with a rough and fine tuning method for the learning scheme.
A semi-analytical incremental model is developed which is suitable for any type of loading.
Chi-square p-value for the difference in the AUC when compared to the previous (incremental) model.
Following this, the three primary workflow models (V-Model, Incremental Model, and Hybrid V-Model) are discussed as means for sequencing the system engineering activities.
We pursued an incremental model building strategy.
There is no existing work for incremental causal modeling over event streams.
Then we calculated prognostic indices for each of the incremental models using the regression coefficients.
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