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Page Jr., C. David - Departments of Biostatistics and Medical Informatics & Computer Sciences, University of Wisconsin
Herbrand Models Logic Lecture 2
CS 731 Example Exam 2 November 15, 2000
F99 8VQ !## Uh+x ) (www.cs.ualberta.ca/~jcheng)
CS 731 Exam 2 November 15, 2000
Dynamic Bayes Nets An Approach to Temporal Reasoning
Inductive Logic Programming: The Problem Specification
Syntax of FirstOrder Predicate Calculus (FOPC): 1. Alphabet
Learning of Bayesian Network Structure from Massive Datasets: The ``Sparse Candidate'' Algorithm
Theories for mutagenicity: a study in firstorder and featurebased induction
1Mark-A. Krogel, Magdeburg University, Knowledge Discovery and Machine Learning Group KDD Cup 2001
CS 731: Example Exam 1 (Note that Future Exams will not include Multiple Choice)
1. Learning Probabilistic Relational Models Lise Getoor 1 , Nir Friedman 2 , Daphne Koller 1 , and Avi Pfe er 3
Handouts: Name of Your Presentation Date of Presentation
Inductive Logic Programming: The Problem Specification
A Tutorial on Learning With Bayesian Networks David Heckerman
KDD CUP 2001 Task 3 Localization
Optimal Junction Trees Finn V. Jensen Frank Jensen
Inference in Belief Networks
KDDKDD--2001 Cup2001 Cup The Genomics ChallengeThe Genomics Challenge
KDD CUP 2001 Task 1: (www.cs.ualberta.ca/~jcheng)
Example of classification problems Formulating Support Vector Machines
Markov Chain Monte Carlo Prof. David Page
