This room is air conditioned.

This room is air conditioned.

I wish our classroom were air conditioned.

I would like an air conditioned room.

D and E are conditioned on C.

This dog is conditioned to bark at strangers.

This dog is conditioned to bark at strangers.

Tom conditioned his dog to bark at strangers.

I knew that P of 1 or 2 conditioned on C is the same as P of 2 conditioned on C and 1.

C is a conditional distribution conditioned on A and B.

I don't know even if there is something called a conditioned reflex.

And there is a growing preference for living and working in air conditioned places.

You're sitting in an air conditioned office, this is easy for you to say.

The probability of D is conditioned on 2 variables which can take 4 possible values.

We were always educated to read actively, yet we're conditioned to view visual images passively.

It's so hot outside that I want to spend all day in my air conditioned house.

That's the same as the theorem of total probability, but now everything is conditioned on 1.

Or, as some people, especially academics prefer, beauty is in the culturally conditioned eye of the beholder.

The idea is that we resample just one variable at a time conditioned on all the others.

C has 2 incoming arcs, so we define the probability of C conditioned on A and B.

We live in a world, where we have been conditioned to be tribal, to be nativist, to be nationalist.

We will take X3 to the left and replace it by A, both conditioned on the variables X1 and X2.

We must move past all the conditioned fear responses and look towards a bright new future that's awaiting us all.

Compute for me the following model probabilities the probability for movie class and song class, the probability of the word perfect conditioned on the movie class, the probability of the word perfect conditioned on the song class, and the same for the word storm.

Like everyone else, I thought people saw bright lights Edenlike gardens and so forth because they were culturally conditioned to do so.

And second, I export my conditional independence whereby I can omit X1 and X2 from the probability of not X3 conditioned on A.

It seems like some of the statements are actually conditioned on properties that we don't necessarily know as a simple function of the inputs.

And E is conditioned on 3 variables, so it can take a total of 8 different values, 2 to the 3rd, which is 8.

Here we've conditioned the insert not just absolutely of inserting a w anywhere, but for insertions and deletions, we condition them on the previous letter.

In this case I pick a coin which with 0.8 probability will once again give me tails, conditioned on the first coin flip coming up tails.

Rather, our response is conditioned on our beliefs, about what they really are, what they came from, what they're made of, what their hidden nature is.

But you can say that every animal that has become naked has been conditioned by water, in its own lifetime, or the lifetime of its ancestors.

P of C given A B is derived by a distribution over C conditioned on any combination of A and B, of which there are 4 of A and B as binary.

The joint probability represented by a Bayes network is the product of various Bayes network probabilities that are defined over individual nodes where each node's probability is only conditioned on the incoming arcs.

This thing over here is the same as probability of test 2 to be positive, which I'm going to abbreviate with a 2 over here, conditioned on test 1 being positive and me having cancer times the probability of me having cancer given test 1 was positive plus the probability of test 2 being positive conditioned on test 1 being positive and me not having cancer times the probability of me not having cancer given that test 1 is positive.

And once again, we'd like to refer the corresponding numbers over here on the right side 0.1 for the cancer times the probability of getting a negative result conditioned on having cancer and that is 0.1 0.1, which is 0.01.

So, let's apply this to the cancer case and say we really care about whether you have cancer, which is our cause, conditioned on the evidence that is the result of this hidden cause, in this case, a positive test result.

It's easy to see that the probability of heads in step 2 is the probability of heads in step 2 conditioned on heads in step 1 times probability of heads in 1 plus, that's the sum, probability of heads in step 2 given we had tails in step 1 times probability of tails in step 1.