- Proceedings of the 23rd Annual Virginia Computer User's Conference, 47{51. Blacksburg, VA: Department of Computer Science, Virginia Tech.
- Progressive Partial Memory Learning A Dissertation Submitted to the Graduate Faculty
- Partial-Memory Learning for Static and Changing Concepts
- Proceedings of the 1996 Image Understanding Workshop, 1257--1261 Recognizing Blasting Caps in XRay Images \Lambda
- From Proceedings of the 1998 Image Understanding Workshop. Monterrey, CA: Morgan Kaufmann. Improving Rooftop Detection with Interactive Visual Learning \Lambda
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- A Bayesian Approach to Concept Drift Stephen H. Bach Marcus A. Maloof
- RAID 2007, LNCS 4637, 146166 http://www.springer.com/978-3-540-74319-4
- Proceedings of the Third International IEEE Conference on Data Mining, 123130. Los Alamitos, CA: IEEE Press
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 1, NO. 1, JULY 2003 1 A General Model for Finite-Sample Effects in
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- In Press: Expert Systems with Applications Special issue on Intelligent Systems Applied in Industry and Business
- PROGRESS ON VISION THROUGH LEARNING A Collaborative Effort of George Mason University and
- Working Notes of the 1995 AAAI Fall Symposium on Active Learning, 7073 Boston, MA, November 10-12, 1995
- Proceedings of the 7th IEEE International Conference on Tools with Artificial Intelligence, 392397 Washington, DC, November 5-8, 1995
- Proceedings of the 8th International Symposium on Artificial Intelligence, 124131 Monterrey, Mexico, October 17-20, 1995
- A Partial Memory Incremental Learning Methodology And Its Application To
- GDB QUICK REFERENCE GDB Version 4 Essential Commands
- cosc-072/503 Honor Code Policy for Programming Projects Marcus A. Maloof
- On-line Learning with Partial Instance Memory Mark Maloof
- Analysis of Competing Classifiers using Components of Variance
- Learning to Detect Malicious Executables in the Wild Jeremy Z. Kolter
- To appear: ICML-2003 Workshop on Learning from Imbalanced Data Sets II Learning When Data Sets are Imbalanced
- In Press: Expert Systems with Applications Special issue on Intelligent Systems Applied in Industry and Business
- Proceedings of the 2003 International Joint Conference on Neural Networks, 27642769. Los Alamitos, CA: IEEE Press
- Proceedings of the Sixteenth International Conference on Pattern Recognition (ICPR02) Los Alamitos, CA: IEEE Press
- Progressive Partial Memory Learning A Dissertation Submitted to the Graduate Faculty
- Machine Learning, ?, 1--28 (1999) fl 1999 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- Adaptive User Interfaces: Papers from the 2000 AAAI Spring Symposium, 74{79 Technical Report SS-00-01, Menlo Park, CA: AAAI Press
- Proceedings of the Third International IEEE Conference on Data Mining, 123--130. Los Alamitos, CA: IEEE Press
- Improved Rooftop Detection in Aerial Images with Machine M.A. Maloof (maloof@cs.georgetown.edu)
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- Proceedings of the Seventeenth International Conference on Machine Learning, 567{573. San Francisco, CA: Morgan Kaufmann
- A Machine Learning Researcher's Foray into Recidivism Prediction \Lambda
- Proceedings of the 7th IEEE International Conference on Tools with Artificial Intelligence, 392--397 Washington, DC, November 58, 1995
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 1, NO. 1, JULY 2003 1 A General Model for FiniteSample Effects in
- Improving Rooftop Detection in Aerial Images Through Machine Learning
- Design of a Machine Learning Architecture for Hierarchical Vision Systems
- Learning Descriptions of 2D Blob-Like Shapes for Object Recognition in X-Ray Images
- Online Learning with Partial Instance Memory Mark Maloof
- The MIST Methodology and Its Application to Natural Scene Interpretation 1
- Proceedings of the 8th International Symposium on Artificial Intelligence, 124--131 Monterrey, Mexico, October 1720, 1995
- PartialMemory Learning for Static and Changing Concepts
- Analysis of Competing Classifiers using Components of Variance
- Using Additive Expert Ensembles to Cope with Concept Drift Jeremy Z. Kolter and Marcus A. Maloof {jzk, maloof}@cs.georgetown.edu
- The MIST Methodology and Its Application to Natural Scene Interpretation1
- Partial-Memory Learning for Static and Changing Concepts
- Learning Descriptions of 2D BlobLike Shapes for Object Recognition in XRay Images
- COSC 387: Artificial Intelligence Points for Discussion
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- COSC 387 References Marcus A. Maloof
- Proceedings of the 2003 International Joint Conference on Neural Networks, 2764--2769. Los Alamitos, CA: IEEE Press
- Working Notes of the 1995 AAAI Fall Symposium on Active Learning, 70--73 Boston, MA, November 1012, 1995
- Intelligent Information Systems VIII Proceedings of the Workshop held in
- PROGRESS ON VISION THROUGH LEARNING + : A Collaborative Effort of George Mason University and
- To appear: ICML2003 Workshop on Learning from Imbalanced Data Sets II Learning When Data Sets are Imbalanced
- Incremental Learning with Partial Instance Memory
- Reasoning about events occurring in time is a strong, viable research area in Artificial Intelligence. In spite of numerous successful temporal reasoning theories and systems, few expert system shells exist with
- A Machine Learning Researcher's Foray into Recidivism Prediction
- Improved Rooftop Detection in Aerial Images with Machine M.A. Maloof (maloof@cs.georgetown.edu)
- PartialMemory Learning for Static and Changing Concepts
- Skewed data sets, ROC analysis, and learning to detect rooftops
- Proceedings of the Sixteenth International Conference on Pattern Recognition (ICPR-02) Los Alamitos, CA: IEEE Press
- Proceedings of the 1997 Image Understanding Workshop, 835--845. San Francisco, CA: Morgan Kaufmann.
