Model based Kernel Sum Rule with Applications to State Space Models paper

In this state space model, the stochastic system model is represented by the stochastic Equations (4) and (5) and the probability distributions given in Section (2.3); the

To overcome the drawbacks associated with current MSVM in credit rating prediction, a novel model based on support vector domain combined with kernel-based fuzzy clustering is

We will show that under different assumptions on the distribution of the state and the observation noise, the conditional chain (given the observations Y s which are not

In Figure 6.2, we show the same state and observation process realisation, but in this case, the estimated filter probabilities have been computed using the robust recursion at

Considering this lack of invariance of existing models and to non-conformity with thermo- dynamical principles, we propose in the next section a new way of deriving models which, on

Using the batch Markovian arrival process, the formulas for the average number of losses in a finite time interval and the stationary loss ratio are shown.. In addition,

We give a methodology to create three different discrete parametrizations of the bioreactor geometry and obtain the optimized shapes with the help of a Genetic Multi-layer

The reason is that in centrifugal pumps, the annular seal flow is not maintained in the laminar state but grows from a laminar state to transition regime state and finally a