As before, the main interest is when ({varvec{nu }}) is a sequence of discretely supported measures with nested supports.
The interest in the above theorem is clearly when ({varvec{nu }}) is a sequence of discretely supported measures.
In order to solve the two-stage FRMRP, we use a sequence of finitely supported primitive fuzzy random variables to approximate a continuous fuzzy random variable, which result in a finite-dimensional two-stage FRMRP.
The Lipschitz underestimate method (LUM), a deterministic global optimization technique, can be used to obtain the underestimate of the objective function by building a sequence of piecewise linear supporting hyperplanes.
In [11, 12], Crovisier explained Mañé's ergodic closing lemma which gives the measure theoretical viewpoint on the approximation by periodic orbit, that is, any ergodic invariant probability measure μ of C1-generic Diffeomorphism is the limit of a sequence of invariant measures supported by periodic orbits O f ( p n ).
We will deal with two different sequences of measures; the sequence ({{varvec{nu }}}) will be a sequence of discrete measures, whose supports will give us the centers of the networks, and the sequence ({{varvec{mu }}}) will be the sequence of measures so that the information on the target function is given in terms of integrals with respect to the members of this sequence.
However, accumulating evidence over the last decade supports a sequence of events that characterize necrosis, which could involve death receptors and receptor-interacting protein 1 (RIP1) kinase.
"What we've seen leading up to the election are a sequence of extraordinary actions designed to support Pat McQuaid".
The Naive Bayes Classifier model and an Ensemble model using a sequence of models (i.e., Support Vector Machine, K-Nearest Neighbors, and Naive Bayes Classifier) had the best results among the seven tested modeling methods.
However, it would be desirable to support users with a batch execution, i.e., the preparation of a parameter file describing the reconstruction protocol combined with an automatic application of this protocol to a sequence of datasets without further user support.
