The Wikipedia snippet below is not backed by a reliable source. Can you find one?
Click I got this! to go to Wikipedia and fix the snippet, or Next! to see another one. Good luck!
In page Speech processing:
"A hidden Markov model can be represented as the simplest dynamic Bayesian network. The goal of the algorithm is to estimate a hidden variable x(t) given a list of observations y(t). By applying the Markov property, the conditional probability distribution of the hidden variable x(t) at time t, given the values of the hidden variable x at all times, depends only on the value of the hidden variable x(t − 1). Similarly, the value of the observed variable y(t) only depends on the value of the hidden variable x(t) (both at time t).[citation needed]
You can customize Citation Hunt by providing a list of articles. This gives you a link that you can share with others so they browse Citation Hunt limited to the articles you provided.
How would you like to create a custom Citation Hunt?
Use the search box below to find and add articles to your custom Citation Hunt. You can remove an article by clicking it in the preview below.
Please enter Wikipedia article titles to import, one per line, in the area below:
PetScan is a tool for querying Wikipedia and defining lists of articles. PetScan assigns IDs to queries so their results can be imported into other tools.
Please create your query in PetScan and paste its ID below:
Pagepile is a tool for defining lists of Wikipedia articles. Pagepile assigns IDs to lists so their results can be imported into other tools.
Please create your list in Pagepile and paste its ID below:
Please wait, your custom Citation Hunt is being computed. This may take a few minutes…
You can press Back or close this dialog to cancel.
Your custom Citation Hunt has been created!
You can copy and share the link above to allow other people to use it, or start browsing it now!
Sorry, your custom Citation Hunt failed to be created or came up empty!
Please try again and keep the following tips in mind: