Sentence examples for relevance weight from inspiring English sources

We achieve this by generalizing the Baum-Welch algorithm to include a stream relevance weight component.

Let w i k be the relevance weight of stream k in state i.

where w i k is the relevance weight of each stream k within state i.

We achieve this by generalizing the continuous Baum-Welch algorithm to include a stream relevance weight component.

where w i j k is the relevance weight of each stream k within component j of state i.

Let w i j k be the relevance weight of stream k in the j th component of state i.

The cluster dependent relevance weights offer two advantages.

In order to fuse the different modalities, the proposed MSCHMM introduces stream relevance weights.

Then, the MCE/GPD algorithm is used to learn the relevance weights.

These structures allow learning component or state dependent stream relevance weights.

As it can be seen, learning stream relevance weights causes the error to drop faster.