MLNs from the Tutorial
Download all: tutorial-mlns.tgz
Section 2 - The Basics
uniform.mln
binomial.mln
multinomial.mln
multinomial-biased.mln
Associated Data:
biased-die.db
Section 3 - Social Network Analysis
smoking.mln
Associated Data:
smoking-train.db
smoking-test.db
Section 4 - Logistic Regression
voting.mln
Associated Data:
voting-train.db
voting-test.db
Section 5 - Text Classification
text-class.mln
hypertext-class.mln
Associated Data:
text-class-train.db
text-class-test.db
links-train.db
hypertext-class-test.db
Section 6 - Entity Resolution
er.mln
Section 7 - Hidden Markov Models
traffic.mln
Associated Data:
traffic-train.db
traffic-test.db
Section 8 - Information Extraction
seg.mln
Section 9 - Natural Language Processing
cfg.mln
Associated Data:
s1-train.db
s2-train.db
s3-train.db
s4-train.db
s5-train.db
s6-train.db
s7-train.db
s8-train.db
s9-train.db
s10-train.db
s11-train.db
s12-train.db
s1-test.db
s2-test.db
s3-test.db
s4-test.db
Section 10 - Bayesian Networks
alarm.mln
Section 11 - Hybrid Domains
robotmap.mln
test-constants.mln
Section 12 - Decision Networks
marketing.mln
Associated Data:
trust.db