A model prediction is defined as a quantity which can be computed by supplying model M i with parameter set θ → j (e.g., a predicted value at a certain time point, a difference between predictions or an area under some predicted curve).
Discrimination should be prioritized when judging a set of predictions or an overall CPR performance because if discrimination is poor, no calibration adjustment or other similar refinements of reliability can correct such weak discrimination.
Regarding the function of projections not every projection in a predictive coding hierarchy conveys either a prediction or a prediction error: for example, the information carried by primary sensory afferents only becomes a prediction error signal once it encounters a prediction (which may be at the thalamus or in the spinal cord; see Fig. 9).
A single continuity prediction or a single discriminant is prone to generate errors.
For classification with multiple classes, the majority class prediction or a inconclusive value could be used.
All of them are not assessing a task which can be quantified (e.g. a prediction or a classification).
With a tunable vote number, the multi-voting scheme can be flexible in its results, with either a high quality of prediction or a greater number of potential alternatives.
The results do not form a prediction or a business as usual scenario, but rather a plausible and salient thought-experiment of a possible future based on the consistent integration of current conceptual and quantitative models.
There's no central planning committee, no permit with the city, and not even an official website, so there's no obvious person to ask for a prediction or a figure.
Unlike previous attempts [14], [15], [16], our approach for the integration of miRNAs in the network is not based on miRNA target prediction, or a mixture between target prediction and expression data, but relies solely on expression data.
