On the basis of the relative degree structure of the nonlinear passivated model, a four-state linear-decentralized model with reconstructible load inputs is drawn.
EDUCATION Scholars across Southeast Asia are collaborating on research, and academic papers produced with international input are drawing more attention than work done in one country.
During our experiments, user inputs were drawn uniformly from the set {1,2,…,16}.
All user inputs are drawn independently from the same distribution, so (Pr (x_{u_{1}}, U =Pr (x_{u_{2}}, U)).
To investigate whether our results also hold for other distributions, we conducted the same experiments for highly skewed data, where user inputs were drawn by a power law distribution: Pr(x u =x)=C/x 2, x∈{1,2,…,16}, for some positive constant C. In a power law distribution, low-valued inputs are more likely to occur than high ones.
Data inputs were drawn from a recent clinical trial, published studies, and databases.
Although model assumptions and data inputs were drawn from extensive review of the literature, the sources may vary in quality and model parameters may not hold under all conditions.
Our calculations follow a stochastic framework; the age-specific YLL, YLD and DALY are estimated using a stochastic model that captures both uncertainty (from estimates) and annual variability in the input data (data inputs are drawn from the years 1999 2005), and reflects this uncertainty and variability in the model outputs.
Then a bootstrap subset of input instances is drawn to form a new training set, which is denoted by X ij ′.
In the subsequent traces of Figure 2B, we show the response of the model cell to repeated presentations of the stimulus, subjected to input noise that is drawn independently in each stimulus presentation.
An example of an algorithm input and output is drawn on Figure 2. The algorithm takes as input a dataset composed by a species tree, several gene trees and a list of adjacencies.
