The classical integer valued first-order autoregressive (INA- R(1)) model has been defined on the basis of Poisson innovations. This model has Poisson marginal distribution and is suitable for modeling equidispersed count data. In this paper, we introduce an modification of the INAR(1) model with geometric innovations (INARG(1)) for model- ing overdispersed count data. We discuss some structu...

‎in this paper we try to extend geometric concepts in the context of operator valued tensors‎. ‎to this end‎, ‎we aim to replace the field of scalars $ mathbb{r} $ by self-adjoint elements of a commutative $ c^star $-algebra‎, ‎and reach an appropriate generalization of geometrical concepts on manifolds‎. ‎first‎, ‎we put forward the concept of operator-valued tensors and extend semi-riemannian...

In this paper, two different ways of introducing alternation for lattice-valued (referred to as {L}valued)  regular tree grammars and {L}valued top-down tree automata are compared. One is the way which defines the alternating regular tree grammar, i.e., alternation is governed by the non-terminals of the grammar and the other is the way which combines state with alternation. The first way is ta...

In this paper, g-dual function-valued frames in L2(0;1) are in- troduced. We can achieve more reconstruction formulas to ob- tain signals in L2(0;1) by applying g-dual function-valued frames in L2(0;1).

Addressing the problem in the title, we diagnose the essential diiculty as the implicit assumption of two-valued logic in the event structure view of event occurrence as a true-or-false proposition. Taking the 3-valued logic of before-during-after as the common underlying logic of both event structures and higher dimensional automata (HDA's) uniies them into a single model having the same proce...

The physical “continuum” is being modeled as a complex of events interconnected by the relation of extension and forming an abstract partially ordered structure. Operational physical procedures for discerning observable events assume their existence and validity locally, by coordinatizing the informational content of those observable events in terms of real-valued local observables. The localiz...

Recurrent Neural Networks were invented a long time ago, and dozens of different architectures have been published. In this paper we generalize recurrent architectures to a state space model, and we also generalize the numbers the network can process to the complex domain. We show how to train the recurrent network in the complex valued case, and we present the theorems and procedures to make t...

Abstract. In this paper, we propose three similarity measure methods for single valued neutrosophic refined sets and interval neutrosophic refined sets based on Jaccard, Dice and Cosine similarity measures of single valued neutrosophic sets and interval neutrosophic sets. Furthermore, we suggest two multi-criteria decision making method under single valued neutrosophic refined environment and i...

Interval-valued computation is an unconventional computing paradigm. It is an idealization of classical 16-, 32-, 64etc. bit based computations. It represents data as specific subsets of the unit interval – in this sense this paradigm is classified into the continuous space machine paradigm near to optical computing. In this paper we show the visual reasoning power of interval-valued computatio...