… The absence of formal errors such as deadlocks is of paramount importance for the … detection
of formal errors in business process models and for the prediction of error probability based …

… more reliable in predicting error than conventional methods based on program size alone. …
a general one applicable in determining error prediction models for various application areas …

… error probabilities α for 200 simulations from model (4.4), each time using the Ebay prediction
rule with nominal error … 0 to 15, the actual prediction errors α decrease toward the target …

… 1, empirical relations between the unit pile toe resistance qp and the SPT N in … empirical
correlations. First, a correlation may not provide an accurate prediction; hence, prediction error …

… As the learning performance we look at the generalization error of type 0 that is the error for
0-predictions. We choose four different levels of learning problems, controlled by the order of …

… This procedure would compute a prediction error for a given variable for each period and
then calculate the RMSE from another structural model or from an autoregressive or vector …

… thus has a substantial empirical foundation, but the scaling from that empirical foundation
to the … approach as implemented here, which could map into sources of error. One potential …

… prediction error variance c2 in (1.6) in terms of the spectral density function are covered in
Chapter 10. Though the isomorphs g₁ and g2 are similar, computing the latter in the spectral-…

… , though not exactly predict able from those features, and also … measurements the percentage
error is much smaller for F2. In … yield formant values with margins of error no greater than 5-…

… falsifying") event is a prediction error for the proposition. We refer to this classification of …
We think that the empirical evaluation of a scientific theory should be based on more than one …