Sentence examples for model probability estimates from inspiring English sources
Post model probability estimates showed that even among women with three or more risk factors, PPH could only be predicted in 10% of the cases.
Post model probability estimates showed that by screening and diagnosing women with three risk factors, we can identify 10% of women who will develop PPH.
Based on the results of the final model, probability estimates of PD occurrence of the study sites ranged from 0 to 0.75 with a median of 0.4, and about 34% of the study sites had the probability estimates of ≥ 0.5.
We used post model probability estimates to predict the probability of developing PPH with each one of the statistically significant risk factors in Model 4. History of PPH, non-use of cord traction, and retained placenta each had a predictive probability of 20% or higher.
The rank is obtained by training the multiclass model to support probability estimates [26].
The language model probabilities were estimated on 500 million words from French newspapers and interpolated with LM probabilities estimated over 2 million words corresponding to reference transcription of radio broadcast news shows.
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural net work directly in the HMM framework using the Dirichlet Mixture Models (DMMs).
Finally, the posterior distributions of parameters and the posterior model probabilities were estimated with the nonlinear regression approach [feed-forward neural network (FFNN) regression models] developed by Blum and Francois (2010) and implemented in the R package abc.
It can be seen that the ES model yields higher occurrence probability estimates for genes with higher vertex degrees as compared to the BN and HG models.
Because motif counts as well as exponential random graph models are based on probability estimates, they appear very useful to compare networks of different size.
The probability estimates of model scenarios were compared using posterior probabilities from a local logistic regression of the scenario set, and 100 000 runs were assessed per scenario.
