Sentence examples for insensitive prediction from inspiring English sources

To provide a benchmark decision rule for comparison of diagnostic utility, we computed the pretest probability estimate from the logistic regression equation described by Selker and colleagues (the acute cardiac ischemia-time insensitive prediction instrument, ACI-TIPI).

These solutions result in mesh-insensitive predictions of the damaged beam stiffness and three-dimensional stress and strain fields in the damaged state.

This work presents an Adaptive-Model Predictive Control (AMPC) mechanism to address this degradation where the parameters are tuned continuously through recursive estimation and update approaches, making the MPC insensitive to prediction errors and to achieve the optimal superheat response.

To transform the naive Bayes probabilities into a sensitive or insensitive class-level prediction, a threshold was defined as the probability maximizing the sensitivity and specificity.

It was shown that applying such a mainly bulk flow dependent estimate correlation makes the drop size predictions insensitive to the observed difference between the one-gap and the two-gaps cases.

The mean velocity and temperature predictions are insensitive to the inlet FSD distribution because of the strong production and dissipation terms in the transport equation for FSD.

We found that the predictions were insensitive to the choice of default Hill coefficient (though n = 1.4 was optimal), but highly sensitive to the intuitive EC50 value of 0.5.

However, in the soft site evaluated the magnitude of the over-prediction was rather insensitive to the increase in the inelastic demand, conversely, the over-prediction in the stiffer site increased as the site softened due to the rising inelastic demand.

In other ranges, (text{OAS}) performance appears quite insensitive to improvements in link prediction: such investments would be wasted.

IOMA's prediction accuracy is insensitive to the specific choice of threshold, with thresholds in the range 0.0001 0.1 yielding <2.5% change in the prediction accuracy.

Notably, IOMA's prediction accuracy is insensitive to the specific choice of threshold (with thresholds in the range of 0.0001 0.1 yielding <5% change in the prediction accuracy of the various methods).