Data Mining (with Many Slides due to Gehrke, Garofalakis, Rastogi)
© Jude Shavlik 2006, David Page 2007 CS 760 – Machine Learning (UW-Madison)RL Lecture, Slide 1 Reinforcement Learning (RL) Consider an “agent” embedded.
Slides - Slide 1
Gleaning Relational Information from Biomedical Text Mark Goadrich Computer Sciences Department University of Wisconsin - Madison Joint Work with Jude.
Transfer in Reinforcement Learning via Markov Logic Networks Lisa Torrey, Jude Shavlik, Sriraam Natarajan, Pavan Kuppili, Trevor Walker University of Wisconsin-Madison,
Today’s Topics HW0 due 11:55pm tonight and no later than next Tuesday HW1 out on class home page; discussion page in MoodleHW1discussion page Please do.
Today’s Topics Dealing with Noise Overfitting (the key issue in all of ML) A ‘Greedy’ Algorithm for Pruning D-Trees Generating IF-THEN Rules from D-Trees.
Statistical Relational Learning: An Introduction Lise Getoor University of Maryland, College Park September 5, 2007 Progic 2007.
Today’s Topics Read Chapter 3 & Section 4.1 (Skim Section 3.6 and rest of Chapter 4), Sections 5.1, 5.2, 5.3, 5,7, 5.8, & 5.9 (skim rest of Chapter 5)
Integrating Machine Learning and Physician Knowledge to Improve the Accuracy of Breast Biopsy
Gleaning Relational Information from Biomedical Text
Skill Acquisition via Transfer Learning and Advice Taking Lisa Torrey, Jude Shavlik, Trevor Walker University of Wisconsin-Madison, USA Richard Maclin.
