Machine Learning
Wednesday, 28 May 2014
Markov and Hidden Markov Models
Transition Matrix
When X
t
is discrete, the conditional distribution P(X
t
| X
t-1
) can be written as a matrix A where A
ij
= P (X
t
= j | X
t-1
= i) is the probability of going from state i to state j. and each row sums to 1. (stochastic matrix)
No comments:
Post a Comment
Older Post
Home
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment