Sentence examples for more complex prediction from inspiring English sources

The same applies to predicted risk estimates from more complex prediction models such as diabetes risk scores.

A number of new algorithmic tools have been proposed, covering many aspects of video compression technology, such as larger coding units, new tools, and more complex prediction schemes.

One of the most significant limitations of the study is a rather small sample in the case of Brno as the limited sample size limits capacity to work with a more complex prediction model (in terms of more variables included in the equation).

An important disadvantage of a more complex prediction model is however that the rationale behind its output will be much more difficult to understand by potential users.

Non-linear prediction models, like artificial neural networks (e.g., NetMHC [ 3]), or even more complex prediction approaches like the one proposed by Zhang et al. [ 19], would lead to a non-convex, non-linear mixed integer optimization problem that cannot be solved efficiently and optimally even for small instances [ 20].

The simplest prediction would be that neighboring pixels all share the same value (the same gray scale value, for example), but much more complex predictions are also possible.

Using the hybrid model for more complex predictions and comparing these to the sensitivity analysis, we found that the threshold corresponding to the hybrid parameter θ25/ wee, which has an essential effect (and modulatory) in the hybrid model, were robust (using S osc) towards single parameter perturbations; however it had an essential effect with a targeted combined perturbation.

Although these preliminary predictive results are compelling, they are based only on simple univariate regressions, and more complex multivariate prediction models could potentially provide more accurate predictions (Maher et al. 2011).

Prediction of noise generated by centrifugal fans is much more complex than prediction noise generated by axial fans.

As the design of current and future hardware is becoming more and more complex, energy prediction or estimation is as elusive as that of time performance.

More recently, online web-based risk calculators have facilitated implementation of more complex risk prediction tools into clinical practice while minimizing the need for additional cumbersome bedside calculations.