Thesis
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Learning Ensembles of First-Order Clauses that Optimize Precision-Recall Curves
Mark Goadrich
Defended August 13th 2007
Journal Articles
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Gleaner: Creating Ensembles of First-Order Clauses to Improve Recall-Precision Curves
Mark Goadrich, Louis Oliphant and Jude Shavlik
Machine Learning Journal Special Issue on ILP
Submitted April 10th 2005, Accepted April 26th 2006
Conference Papers
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Mark Goadrich and Jude Shavlik
23rd International Conference on Inductive Logic Programming (ILP), Corvallis, OR, USA, 19th - 21st June, 2007- The Relationship Between Precision-Recall and ROC Curves
Jesse Davis and Mark Goadrich
23rd International Conference on Machine Learning (ICML), Pittsburgh, PA, USA, 26th - 28th June, 2006- Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction
Mark Goadrich, Louis Oliphant and Jude Shavlik
14th International Conference on Inductive Logic Programming (ILP), Porto, Portugal, 6th - 8th September, 2004Our Dataset
- The Relationship Between Precision-Recall and ROC Curves
Workshop Papers
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Learning to Extract Genic Interactions using Gleaner
Mark Goadrich, Louis Oliphant and Jude Shavlik
Learning Language in Logic 2005 Workshop at the International Conference on Machine Learning, Bonn, Germany, 7 August 2005 -
Model Robustness versus Parameter Evolution: Assortative Interaction in a Bargaining Game
Mark Goadrich
NAACSOS Methods, Toolkits, and Techniques Section Workshop, AGENT 2003, Chicago, IL, October, 2003
Technical Reports
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The Relationship Between Precision-Recall and ROC Curves
Jesse Davis and Mark Goadrich
UW-CS Technical Report TR1551 2006 -
Emergent Formation of Political Parties
Mark Rich and Charles Franklin
Working Paper - Spring 1999
Presentations and Posters
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An Introduction to Python Programming
Northwest Louisiana PC Users Group, May 15th, 2008 -
Weka: An open source tool for data analysis and mining with machine learning
Quantitative Data Analysis Colloquium, April 17th, 2008 -
Using Relational Structure for Learning and Modeling in Biomedical and Social Domains
Natural Science Colloquium, November 6th, 2007 -
Learning Ensembles of First-Order Clauses that Optimize Precision-Recall Curves
Thesis Defense, August 13th, 2007 Gleaning Relational Information from Biomedical Text
CIBM Seminar, December 5th, 2006- Gleaning Relational Information from Biomedical Text
CIBM Retreat, October 13th, 2006- The Relationship Between Precision-Recall and ROC Curves
ICML 2006, Pittsburgh, Pennsylvania, June 26th, 2006- Learning to Extract Genic Interactions using Gleaner
LLL Workshop, ICML 2005, Bonn, Germany, August 7th, 2005- Learning Ensembles of First-Order Clauses for Recall-Precision Curves
CIBM Seminar, September 21st, 2004- Learning Ensembles of First-Order Clauses for Recall-Precision Curves
Fourteenth International Conference on Inductive Logic Programming
Porto, Portugal, September 6th, 2004- Structural Logistic Regression for Data Mining
UW CS838 Statistical Relational Learning, January 28th, 2004- Biomedical Information Extraction using Inductive Logic Programming
CIBM Retreat, October 3rd, 2003- Model Robustness versus Parameter Evolution
NAACSOS Workshop on Methods, Toolkits and Techniques
AGENT2003, October 2nd, 2003- Biomedical Information Extraction using Inductive Logic Programming
CIBM Seminar, May 6th, 2003- Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes
UW CS838 Learning and Modeling Biological Networks, February 7th, 2003- Biomedical Information Extraction using Inductive Logic Programming
CIBM Fall Retreat, November 15th, 2002- Emergent Formation of Political Parties
UW AI Seminar, May 4th, 2000- Commonsense Reasoning through Circumscription
Kenyon College Senior Exercise in Mathematics, Nov 1997- Gleaning Relational Information from Biomedical Text
Projects
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Creating an On-line Recipe Collection (ORC) in XML
Mark Rich
Database Class Project, Fall 2001 -
Process Lifetime Prediction Using Artificial Neural Networks: PLANN
Louis Oliphant, Mark Rich
Operating Systems Class Project, Fall 2001 -
Economic Learning in Agent World
Mark Rich
Machine Learning Class Project, Fall 1999 Synthetic Creatures and BUPTA: A Comparison of Multiple Alignment Algorithms
Mark Rich, Keith Thorez
Bioinformatics Class Project, Fall 1999- Turning the Screws on Turing
Mark Rich
Kenyon College Senior Exercise in Philosophy, March 1998- This Paper is Not Complete: Godel's Incompleteness Theorem
Mark Rich
Kenyon Summer Science Scholar Research in Mathematics, 1997- Turning the Screws on Turing
Miscellaneous
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Gene Pool
A two-player card game based on DNA and genetics
Mark Goadrich, 7/2006 -
Cell Management
A Solitare Puzzle for the piecepack game system
Mark Goadrich, 10/2005 -
Solving Babylone
Finding a solved strategy for Babylone by Bruno Faidutti
Mark Goadrich, 11/2004 -
Puzzle Design Tournament Entry 08
My submission for Puzzle Design Tournament, based on the game Ricochet Robots
Mark Rich, 6/2003 -
My Edmonton Trip
A visit to Edmonton, Alberta, Canada through Haikus and Sketches
Mark Rich, 7/2002
