While we do not question the usefulness of model assumptions for building statistical methods and for testing implementations, we believe that performance evaluation should as much as possible avoid relying on a particular model.
"You shouldn't take Argentina as the failure of a particular model," Mr. Reich said during a news conference here last month.
We present BIC values and also model weights, which sum to 1 and can be interpreted as the probability that a particular model provides the best description of the data structure among the set of candidate models [ 52].
These weights are scaled between zero and one, and represent the evidence for a particular model as a proportion of the total evidence supporting all of the models.
Simple queries can be written to list individual elements such as Species or Reactions within a particular model.
We estimate the likelihood that a test sample fits a particular model as a function of the test sample's probe intensities Euclidean 2D distance from the model's mean.
Note, however, that these measures (i.e., alpha and xp) are not "absolute" for a particular model as their values depend on the relative preference/occurrence within the selected models.
Goodness of fit is assessed here using the Akaike Information Criterion (AIC) statistic (Akaike, 1974), defined for a particular model M as (17 where ln LM is the optimised log likelihood of the model, and pM is the number of fitted parameters.
The performance observed at each stage of the algorithm is shown in Mpixel/s (Mpps), and the global throughput with a particular model configuration, as follows: three temporal derivatives, a temporal convolution window of 15 frames, five spatial derivatives, a spatial separable convolution window of 31 pixels, and 12 angles steered.
Fixed errors are defined as errors which are specific to a particular model of aircraft.
