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The different estimates are based on different training data objects and varying variable subsets.
Based on different training algorithms, MLP has been found as the best network with minimum training error for modeling of catalyst conversion and selectivity.
The results of the training procedure and validation by LOO-CV for SAR models based on different training sets are also presented in Table 2.
VS validation set, TS training set Fig. 5 Cumulative distribution of plot-level AGB field estimates and plot-level AGB predictions estimated with models based on different training subsets in study site Gorkha.
A major challenge in the field of systems biology consists of predicting gene regulatory networks based on different training data.
Because different algorithms use different information and are based on different training data, each has its own strength and weakness.
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One should note that there are now several other web-based predictors of protein disorder available based on different algorithms and training sets.
Based on different types of training data, the WAVELET method can be applied to classify different kinds of solenoids or different kinds of protein structures in future work.
First, the similarities based on different descriptors were adopted to train the classifier.
In total 3000 three-set (A, P1, P2) RF classifiers were trained, based on different combinations of single or two adjacent amino acids frequencies (average out-of-bag (OOB) error 24.4% with standard deviation of 9.7%).
In this study, 4 Proteochemometric models were created from training set based on different combinations of descriptors (T1-L, T2-L, T3-L, T4-L).
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based on different location
based on discriminative training
based on different adversarial
based on different ventilation
based on different independence
based on military training
based on different weight
based on different age
based on different invasion
based on different criterion
based on labelled training
based on professional training
based on gradual training
based on different user
based on different pathophysiology
based on different number
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