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Building Bayesian Networks: A Guide to Email Management and Query Analysis

This resource focuses on constructing Bayesian networks, particularly in the context of email management. It outlines various variables such as email characteristics, sender IDs, recipients, topics, and timing metrics that influence the analysis. The document also discusses different types of queries relevant to specific scenarios, including the probabilities of certain conditions, such as the likelihood of a patient having lung cancer given certain symptoms. With guidance on defining variables and learning from data, this material serves as an essential tool for understanding Bayesian methods in computational science.

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Building Bayesian Networks: A Guide to Email Management and Query Analysis

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  1. Building Bayesian Networks COMPSCI 276, Fall 2009 Set 3: RinaDechter (Reading: Darwichechapter 5)

  2. Queries: Different queries may be relevant for different scenarios

  3. For other tools see class page

  4. Other type of evidence: We may want to know the probability that the patient has either a positive X-ray or dyspnoea, X =yes or D=yes.

  5. C= lung cancer

  6. Building email management network • Step 1: define the variables: email characteristics • Title, • (values: any sequence of words.) • sender-id, • (values: # of id names) • Recipients, #-of-recipients • (Values, a sequence of id-names) • topic, • (values: a distribution over bag of words, or a set of key words) • length, • (values: natural numbers) • time-sent : (time-of-week, time-of-day), • (values: days of the week, time (discredized) • time-read, (values: as above) • current-time, (value: as above) • max-reponse-time (value: as above) Evidence variables query

  7. Variables? Arcs? Try it.

  8. A naive Bayes structure has the following edges C -> A1, . . . , C -> Am, where C is called the class variable and A1; : : : ;Am are called the attributes. What about?

  9. Learn the model from data

  10. Learning the model

  11. Try it: Variables and values? Structure? CPTs?

  12. Try it: Variables? Values? Structure?

  13. Variables? Values? Structure?

  14. Try it: Variables, values, structure?

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