Chris Drummond

Chris Drummond: Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks. CoRR abs/1106.1796 (2011)

Chris Drummond, Nathalie Japkowicz: Warning: statistical benchmarking is addictive. Kicking the habit in machine learning. J. Exp. Theor. Artif. Intell. 22(1): 67-80 (2010)

Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin: Robustness of Classifiers to Changing Environments. Canadian Conference on AI 2010: 232-243

Farid Seifi, Chris Drummond, Nathalie Japkowicz, Stan Matwin: Improving Bayesian Learning Using Public Knowledge. Canadian Conference on AI 2010: 348-351

Chris Drummond: Attribute. Encyclopedia of Machine Learning 2010: 51-53

Chris Drummond: Class. Encyclopedia of Machine Learning 2010: 166-171

Chris Drummond: Classification. Encyclopedia of Machine Learning 2010: 171

Chris Drummond, Nathalie Japkowicz, William Klement, Sofus A. Macskassy: Workshop summary: The fourth workshop on evaluation methods for machine learning. ICML 2009: 167

Robert C. Holte, Chris Drummond: Cost-Sensitive Classifier Evaluation Using Cost Curves. PAKDD 2008: 26-29

Sarabjot Singh Anand, Daniel Bahls, Catherina Burghart, Mark H. Burstein, Huajun Chen, John Collins, Thomas G. Dietterich, Jon Doyle, Chris Drummond, William Elazmeh, Christopher W. Geib, Judy Goldsmith, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman: AAAI-07 Workshop Reports. AI Magazine 28(4): 119-128 (2007)

Chris Drummond: Learning Multi-dimensional Functions: Gas Turbine Engine Modeling. PKDD 2007: 406-413

Chris Drummond, Stan Matwin, Chad Gaffield: Inferring and revising theories with confidence: analyzing bilingualism in the 1901 canadian census. Applied Artificial Intelligence 20(1): 1-33 (2006)

Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Doug Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve Young, Dmitry Zelenko: Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Magazine 27(4): 92-102 (2006)

Chris Drummond, Robert C. Holte: Cost curves: An improved method for visualizing classifier performance. Machine Learning 65(1): 95-130 (2006)

Chris Drummond: Discriminative vs. Generative Classifiers for Cost Sensitive Learning. Canadian Conference on AI 2006: 479-490

Chris Drummond, Robert C. Holte: Severe Class Imbalance: Why Better Algorithms Aren't the Answer. ECML 2005: 539-546

Chris Drummond: Iterative Semi-supervised Learning: Helping the User to Find the Right Records. IEA/AIE 2004: 1239-1248

Chris Drummond, Robert C. Holte: What ROC Curves Can't Do (and Cost Curves Can). ROCAI 2004: 19-26

Chris Drummond: Accelerating Reinforcement Learning by Composing Solutions of Automatically Identified Subtasks. J. Artif. Intell. Res. (JAIR) 16: 59-104 (2002)

Chris Drummond, Dan Ionescu, Robert C. Holte: A Learning Agent that Assists the Browsing of Software Libraries. IEEE Trans. Software Eng. 26(12): 1179-1196 (2000)

Chris Drummond, Robert C. Holte: Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria. ICML 2000: 239-246

Chris Drummond, Robert C. Holte: Explicitly representing expected cost: an alternative to ROC representation. KDD 2000: 198-207

Chris Drummond: Composing Functions to Speed up Reinforcement Learning in a Changing World. ECML 1998: 370-381

Chris Drummond: Using a Case Base of Surfaces to Speed-Up Reinforcement Learning. ICCBR 1997: 435-444

Chris Drummond, Dan Ionescu, Robert Holte, Nicolas D. Georganas, Emil M. Petriu: Intelligent Browsing for Multimedia Applications. ICMCS 1996: 386-389