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It must be noted that the acoustic model used for decoding is that selected in the acoustic model selection stage.
Only gene-profile accuracy is considered at model selection stage, as the time-profile accuracy depends on the set of genes selected, and therefore may not be a good indicator for the accuracy of the real prediction targets, which may have been selected because of their special roles under these experimental conditions.
This multi-thread strategy accelerates ML calculations during the model selection stage and, in doing so, significantly reduces time consumption to about one sixth of the single, non-parallel process in the currently designated servers.
Such models were considered during the model selection stage, however.
Hence, plane detection already starts with an initial guess of planes which have to survive the following model selection stage.
It can be seen that much more hypotheses can be analysed within a shorter time and only about 3% are passed onto the model selection stage.
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At both model selection stages (choosing the socio-demographic factors and choosing the psycho-social factors) forward selection confirmed the factors chosen by backward elimination.
Note that at both model selection stages (choosing the socio-demographic factors and choosing the psycho-social factors) forward selection confirmed the factors chosen by backward elimination, reflecting the fact that relatively few candidate variables were considered based on prior knowledge.
After model selection, age, stage of tumor, histological type, surgery and radiation treatment were left in the reduced models.> -wrap-foot>> -wrap-foot>> -wrap-foot> Abbreviations: HR Hazard Ratio, CI Confidence Interval.
Specifically, this model is a two-stage method consisting of the model selection and training stage along with the iterative forecasting and correcting stage.
Similarly after automatic model selection only FIGO stage was kept in the final model (selected in 94% bootstrap samples) and addition of MGB-2 to the model delivered no significant improvement (Table 4).
Related(20)
sample selection stage
model selection phase
model selection time
model selection step
model selection steps
model building stage
model sorption stage
model selection customer
model validation stage
model selection strategy
model design stage
model training stage
model execution stage
model selection procedure
model development stage
model selection accuracy
model train stage
model selection bias
model calibration stage
model verification stage
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