Sentence examples for model set and from inspiring English sources

A wrongly recognized context will lead to choosing the wrong model set and event priors.

In our approach, we need a distance measure to find the closest model set and the interpolation weight.

A dominant model plus uncertain terms is derived from these model set and used as an observer.

Their input/output behaviours are guaranteed to be greater than the lower bound of the reference model set and lower than the upper bound of this set.

In our system, if the closest neutral model set and the closest emotional model set are from the same pool speaker, the system simply uses the second closest emotional model set.

Each controller is computed in order to guarantee that the closed-loop system behavior is greater than the lower bound of a reference model set and is lower than the upper bound of this set.

We use a novel MBMD measure to decide the interpolation model sets and weights.

We focus our discussion by simplifying the model setting and carrying out 15 simulations.

Let the number of pool speakers be L. Let ϕ1,…,ϕ L denote the neutral model sets, and ψ1,…,ψ L denote the emotional model sets.

By being speaker-dependent, we mean that the interpolating model sets and weights are dependent on the speaker identity.

In Sect. 2 we define the mathematical model setting and introduce the concept of level crossings and specifically the upward crossings.