Emission Probabilities in Hidden Markov Model

Hinzugefügt: 2026-05-16

[00:00:02]Now, let us consider all the red arrows.

[00:00:05]Okay?

[00:00:12]So, these red arrows are called as emission probabilities. These red arrows show emission probabilities.

[00:00:24]Okay?

[00:00:26]So, emission means if the hidden state is known, what observation are we likely to see?

[00:00:32]So, for example, if it is rainy, if rainy, then person sad.

[00:00:45]So, the probability of that is 0.9.

[00:00:49]As you can see over here.

[00:00:51]If rainy, if rainy, then person happy.

[00:01:01]What is the probability observe this arrow? The probability is 0.1.

[00:01:06]Again, the total has to come out as one.

[00:01:10]Okay?

[00:01:12]Similarly, if you observe or cloudy, so cloudy to sad, probability is 0.6.

[00:01:23]Cloudy to happy, the probability is 0.4.

[00:01:29]Total is one.

[00:01:32]And similarly, if uh it is sunny, the sunny to sad, the probability is 0.2.

[00:01:42]And sunny to happy, the probability is 0.8.

[00:01:48]As we all are enjoying the summers.

[00:01:51]Right? So, >> Mhm.