The probabilities of the transitions are then stored in transition matrices for use at recognition time.

The likelihood of each transition is retrieved from the transition matrix.

At development time it is necessary to determine a probability for each of the transitions and store this in the transition matrix.

The cyclic model of succession can be displayed in terms of a transition matrix.

For a given cell in the transition matrix, all paths to that cell are summed.

It is also assumed that one knows the transition matrix for the channel being used.

Such a transition matrix is always defined for a non-deterministic finite automaton.

The transition matrices form a monoid, acting on the point.

This was the transition matrix, all right, and she shifted her grip on the wand to tug them into their new position.

Denote the upper-left block of its transition matrix and the initial distribution.