Better Talks
Busy times and much has transpired since the last Bayesian networks talk. We’ve now completed parameter learning and had our first talk on structure learning. Here are the materials:
Talk 5 (pdf) – Long talk on parameter learning–we got through page 8.
Talk 6 (pdf) – Short talk finishing the previous talk and completing parameter learning.
Talk 6 Handout (pdf) – This handout summarizes many of the definitions, theorems and lemmas from parameter learning. The reference numbers and notation correspond to Neapolitan’s text.
Talk 7 (ppt) – This presentation gave an overview of structure learning via local search. It is lacking in examples and explicit theory, but examples will be shown more as we come to causality, and the theory is based on the theory presented in parameter learning.
Hopefully after the semester I’ll get one big Latex version of all of these.
