There is one free parameter, σ, which determines how close in space points must be to be considered similar; we set this value to 3 μm based on previous estimates of registration accuracy/biological variability in the fly brain (Jefferis et al., 2007; Yu et al., 2010 ).
In linear SVM there is one free parameter (C) which controls the penalty on the error term.
Also in this model, there is one free-parameter: the association constant between two dimers k+, which was chosen to be in agreement with the previous studies [14], [15].
In general, the forgetting period T f is fixed, therefore there is only one free parameter controlling the filtering, e.g., the forgetting factor C f, which we assign according to the dynamic network, i.e., the faster the network densifies in time, the more aggressive forgetting we use (see Appendix B for more details about the values of parameters).
The observer gain has been selected as (L^{T} = l [1 1]) for the sake of simplicity so that there is only one free parameter.
In order to enforce the restriction that E [ Φ j ] = 1 for all genes, we include the constraint that m Φ = − s Φ 2 / 2. As a result there is only one free parameter for the distribution f (Φ j | s Φ ).
Also, rather than eliminate the bottleneck parameters, I allow ζ D 1 and ζ D 2 to be constrained to be equal, which removes one free parameter from the model for each of the population pairs.
The classification model can be viewed as having one free parameter (for an individual, once the best-fit class is set to "chosen", the other five are constrained to "not chosen"), while the continuous model has two (S and H I ).
In this investigation, to focus on whether AMR exists by the exponent m, the failure time t0 was fixed to be the origin time of the March 11 , 2011 M 9 earthquake, so that the fitting could be stabilized by reducing one free parameter, t0.
A difference in the AIC of 2 is considered to be significant since it is identical to the introduction of one free parameter.
Given a complex data with great variability in different treatments, i.e., overdispersion, the Poisson distribution with one free parameter is too simple to allow for the variance to be adjusted independently of the mean for such a data.
