You can toss them easily into the naive base model and get better classification.

She's unbelievably naive.

He's a bit naive.

She's a bit naive.

You're naive, aren't you?

Now I'm not naive.

These are naive subjects.

I'm surprised you're so naive.

Marie is a naive student.

Now, am I being naive?

I am pretty damn naive.

The naive man blushed with shame.

I'm surprised that you're so naive.

So as a naive New Zealander

That's a very naive notion, right?

like what we get for naive.

Call this naive if you like.

Queen Amidala is young and naive.

It's naive of you to believe that.

Let's say we're computing naive( 63, 12).

Now, that's absurdly naive for two reasons.

Now, maybe that was a little naive.

Here is my naive advertising man's suggestion.

Get rid of those kinds of naive ideas.

Why would this actually be equivalent to naive?

Model

Model

Model

Model

So I'll compare model one to model three and I'll compare model two to model three.

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.

The naive man was utterly embarrassed in her presence.

So, being naive, and being half German, I decided,

Okay, we're naive, we're bright eyed and bushy tailed.

Now, here is another naive advertising man's question again.

That's a naive way of creating a social change.

Here we've got naive subjects praising the robot Voice

You can't afford to be this naive. Fuck off.

They were too naive to understand the necessity of studying.

He made heaps of money by ripping off naive suckers.

The townspeople were astonishingly naive about what the smugglers were.

Thrun This question is about naive Bayes and Laplacian smoothing.

Let me profusely apologize for my little crude, naive observation.

Printer model

Printer Model