August 2012
Intermediate to advanced
515 pages
21h 52m
English
Content preview from Contemporary Artificial Intelligence
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Chapter 1 2
Learning Probabilistic
M odel Param eters
Until the early 1990s, the DAG in a Bayesian net work was ordinarily hand-
constructed by a domain expert. Then the conditional probabilities were as-
sessed b y the expert, learned from data, or obtained using a combination of
both techniques. Eliciting Bayesian networks from experts can be a laborious
and difficult process in the case of large networks. As a result, researchers
developed methods that could learn the DAG from data. Furthermore, they
formalized methods for learning the conditional probabilities from data. In a
Bayesian network, the conditional probability distributions are called the ...
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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.