August 2012
Intermediate to advanced
515 pages
21h 52m
English
Content preview from Contemporary Artificial Intelligence
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Chapter 1 3
Learning Probabilistic
M odel Structure
Y
X
Z
In the previous chapter we addressed the problem of parameter learning in a
Bayesian network. In this chapter we discuss structure learning. Section 13.1
in troduces the problem of Bayesian network structure learning from data. Sec-
tions 13.2 and 13.3 discuss two different t echniques for learning that structure.
Then Sect ion 13.4 provides a large-scale example of structure learning. Next,
351
352 Chapter 13 Learning Probabilistic Model Structure
Table 13.1 Data on 12 Work ers
Case Sex Height (inches ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.