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