The document discusses Daphne Koller and naive Bayes classifiers. It introduces naive Bayes models and classifiers, showing how a naive Bayes classifier represents classes and calculates the probability of features appearing given a class label using naive conditional independence assumptions. Examples of using a naive Bayes classifier for text classification are also presented.

1. Daphne Koller
Bayesian Networks
Naïve Bayes
Probabilistic
Graphical
Models
Representation

2. Daphne Koller
Naïve Bayes Model
Class
X1 X2 Xn. . .
(Xi  Xj | C) for all Xi, Xj

3. Daphne Koller
Naïve Bayes Classifier
Class
X1 X2 Xn. . .

4. Daphne Koller
Naïve Bayes Classifier for Text I
cat dog buy. . .
Document Label
P(“buy” appears | Label)

5. Daphne Koller
Naïve Bayes Classifier for Text II
W1 W2 Wn. . .
Document Label Financial
cat dog buy sell …
Pets
0.001 0.001 0.02 0.02 …
0.02 0.03 0.003 0.001 …