Early in this class I had already mentioned a few applications.

That is, here's one thing we can say.

Let's build a probabilistic word model of segmentation.

We clearly don't want to have to enumerate them all.

A good example of how FrontlineSMS is being used to help send targeted messages and communicate with targeted groups was during the reconstruction efforts after the Asian Tsunami where a project being run by Mercy Corps was looking to have conversations and send specific information to a different number of groups.

But it turns out that this row here is at least 1,000 times better than any of the other segmentations.

And notice that this is independent.

So this model, simplified though it is, coming up with this naive Bayes assumption, gets this one right, and it does about 99 of the segmentations accurately.

And let's answer that not just for 12 characters, but for n characters in general.

We can say that the best segmentation is equal to the argmax over all possible segmentations of the string into a first word and the rest of the words of the probability of that first word times the probability of the best segmentation of the rest of the words.

So if we had a Markov model where the probability of insignificant depended on the probability of small, then we could catch that, and we could get this segmentation correct.

Again, that depends on exactly what type of smoothing you choose to do.

Then if we take the rest and multiply out this whole term, the best segmentation of the rest times the probability of the first that comes from this column, then that column will give us about 10 to 19 for the segmentation that starts with n, 10 to 13 for the one that starts with no, 10 t the 10 for the one that starts with now, and 10 to 18 for the one starts with nowi.

In this case, it just seems somewhat like bad luck that that was the right answer, but both segmentations seem like good segmentations.

Using FrontlineSMS and using the grouping facility and functionality within the software they were able to put people into multiple groups depending on what information they wanted to receive and then they could target those people with an SMS providing them with that market price, or that weather report or whatever the information might be.

Now this is going to be a little unwieldy to deal with, so we can make an approximation.

Now, 2 n is a lot.

For a given string say we have this string with 12 characters how many possible segmentations are there?

By definition, the best segmentation, which we'll call S , is equal to the one which maximizes the joint probability of the segmentation.

So we're going to segment the text into a sequence of words word 1 through word n and find that segmentation into words that maximize the joint probability.

Either you look at config.nice file, in the source tree of your current PHP installation or, if this is not available, you simply run a

Number two thing that Howard did is he made us realize it's another very critical point he made us realize the importance of what he likes to call horizontal segmentation.

Here it seems like it really has erred that small and insignificant seems like a much better segmentation than the one my program came up with.

Here I've trained it on a corpus of 4 billion words not just the Shakespeare corpus but a larger corpus, and then I give it some test cases to try to find the best segmentation.

Why, inside the whale at the bottom of the sea.

So, let me tell you what those things mean. The first of the two steps in the

Backpacks for boys, purses for girls.

The cover, of the wings of grasshoppers The traces, of the smallest spider's web

Isn't what I see, hear, and smell... just the mirage of a world before the world?

All the oppression of the poor and the powerless... of women.

I have known something of him before.

1 is the vector of ones and A3 is again the activation the vector of activation values for that layer.

List of commands for this action

The 4 is in the ones place.

Oh, yes, same markings, initials, everything.

The source of God's power on earth.

Well, where's Cyril?

Exactly so.

Of the sea the sky the trees and the wind.

Let's make it this one let me change the color pink.

We're friends of the chick with the sword and the kid in the hat.

This data is for my thesis.

Welcome back. We're in lecture eight.

Because you all used to be three years old.

Map section. On the conspiracy shelf.