- Fast State Discovery for HMM Model Selection and Learning
Sajid Siddiqi, Geoffrey Gordon, and Andrew Moore
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AI-STATS), 2007.
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pdf (221KB) | Copyrighted
- Scalable and robust group discovery on large transactional data
Pak Yan Choi, Andrew Moore, and Jeremy Martin Kubica
tech. report CMU-RI-TR-05-60, Robotics Institute, Carnegie Mellon University, December, 2005
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pdf (753KB) | Copyrighted
- Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery
Jeremy Martin Kubica, Joseph Masiero, Andrew Moore, Robert Jedicke, and Andrew J. Connolly
Neural Information Processing Systems, December, 2005.
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pdf (205KB) | Copyrighted
- Variable KD-Tree Algorithms for Efficient Spatial Pattern Search
Jeremy Martin Kubica, Joseph Masiero, Andrew Moore, Robert Jedicke, and Andrew J. Connolly
tech. report CMU-RI-TR-05-43, Robotics Institute, Carnegie Mellon University, September, 2005
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pdf (4MB) | Copyrighted
- A Multiple Tree Algorithm for the Efficient Association of Asteroid Observations
Jeremy Martin Kubica, Andrew Moore, Andrew J. Connolly, and Robert Jedicke
The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August, 2005, pp. 138-146.
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- Efficiently Identifying Close Track/Observation Pairs in Continuous Timed Data
Jeremy Martin Kubica, Andrew Moore, Andrew J. Connolly, and Robert Jedicke
Proc. SPIE Signal and Data Processing of Small Targets, August, 2005.
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- Fast Inference and Learning in Large-State-Space HMMs
Sajid Siddiqi and Andrew Moore
Proceedings of the 22nd International Conference on Machine Learning (ICML), August, 2005.
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pdf (233KB) | Copyrighted
- Alias Detection in Link Data Sets
Paul Hsiung, Andrew Moore, Daniel Neill, and Jeff Schneider
Proceedings of the International Conference on Intelligence Analysis, May, 2005.
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- Making Logistic Regression A Core Data Mining Tool: A Practical Investigation of Accuracy, Speed, and Simplicity
Paul Komarek and Andrew Moore
tech. report CMU-RI-TR-05-27, Robotics Institute, Carnegie Mellon University, May, 2005
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pdf (215KB) | Copyrighted
- Efficient Algorithms for the Identification of Potential Track/Observation Associations in Continuous Time Data
Jeremy Martin Kubica, Andrew Moore, Andrew J. Connolly, and Robert Jedicke
tech. report CMU-RI-TR-05-10, Robotics Institute, Carnegie Mellon University, February, 2005
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pdf (168KB) | Copyrighted
- Fast and Robust Track Initiation Using Multiple Trees
Jeremy Martin Kubica, Andrew Moore, Andrew J. Connolly, and Robert Jedicke
tech. report CMU-RI-TR-04-62, Robotics Institute, Carnegie Mellon University, November, 2004
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pdf (1MB) | Copyrighted
- Spatial Data Structures for Efficient Trajectory-Based Queries
Jeremy Martin Kubica, Andrew Moore, Andrew J. Connolly, and Robert Jedicke
tech. report CMU-RI-TR-04-61, Robotics Institute, Carnegie Mellon University, November, 2004
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pdf (511KB) | Copyrighted
- Fast Nonlinear Regression via Eigenimages Applied to Galactic Morphology
Brigham Anderson, Andrew Moore, Andrew J. Connolly, and Robert Nichol
International Conference on Knowledge Discovery and Data Mining, August, 2004.
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- Semantic based Biomedical Image Indexing and Retrieval
Yanxi Liu, Nicole Lazar, W.E. Rothfus, Frank Dellaert, Andrew Moore, Jeff Schneider, and Takeo Kanade
Trends and Advances in
Content-Based Image and Video Retrieval, Shapiro, Kriegel, and Veltkamp, ed., 2004
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pdf (1MB) | Copyrighted
- Probabilistic Noise Identification and Data Cleaning
Jeremy Martin Kubica and Andrew Moore
The Third IEEE International Conference on Data Mining, November, 2003, pp. 131-138.
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pdf (70KB) | Copyrighted
- Tractable Group Detection on Large Link Data Sets
Jeremy Martin Kubica, Andrew Moore, and Jeff Schneider
The Third IEEE International Conference on Data Mining, November, 2003, pp. 573-576.
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pdf (2MB) | Copyrighted
- K-groups: Tractable Group Detection on Large Link Data Sets
Jeremy Martin Kubica, Andrew Moore, and Jeff Schneider
tech. report CMU-RI-TR-03-32, Robotics Institute, Carnegie Mellon University, September, 2003
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pdf (129KB) | Copyrighted
- cGraph: A Fast Graph-Based Method for Link Analysis and Queries
Jeremy Martin Kubica, Andrew Moore, David Cohn, and Jeff Schneider
Proceedings of the 2003 IJCAI Text-Mining & Link-Analysis Workshop, August, 2003, pp. 22-31.
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pdf (122KB) | Copyrighted
- Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries
Jeremy Martin Kubica, Andrew Moore, David Cohn, and Jeff Schneider
Proceedings of the 2003 International Conference on Machine Learning, August, 2003, pp. 392-399.
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pdf (88KB) | Copyrighted
- Probabilistic Noise Identification and Data Cleaning
Jeremy Martin Kubica and Andrew Moore
tech. report CMU-RI-TR-02-26, Robotics Institute, Carnegie Mellon University, October, 2002
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pdf (84KB) | Copyrighted
- Stochastic Link and Group Detection
Jeremy Martin Kubica, Andrew Moore, Jeff Schneider, and Yiming Yang
The Eighteenth National Conference on Artificial Intelligence, August, 2002, pp. 798-804.
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- Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures
Yanxi Liu, Frank Dellaert, William E. Rothfus, Andrew Moore, Jeff Schneider, and Takeo Kanade
Proceedings of the 2001 Medical Imaging Computing and Computer Assisted Intervention Conference (MICCAI '01), October, 2001.
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pdf (452KB) | Copyrighted
- Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous and Discrete Variables
Scott Davies and Andrew Moore
tech. report CMU-CS-00-119, Computer Science Department, Carnegie Mellon University, April, 2000
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pdf (406KB) | Copyrighted
- Q2: memory-based active learning for optimizing noisy continuous functions
Andrew Moore, Jeff Schneider, Justin Boyan, and M.S. Lee
IEEE International Conference on Robotics and Automation (ICRA '00), April, 2000, pp. 4095 - 4102.
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pdf (651KB) | Copyrighted
- A Locally Weighted Learning Tutorial using Vizier 1.0
Jeff Schneider and Andrew Moore
tech. report CMU-RI-TR-00-18, Robotics Institute, Carnegie Mellon University, February, 2000
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pdf (721KB) | Copyrighted
- The Anchors Hierarchy: Using the triangle inequality to survive high dimensional data
Andrew Moore
tech. report CMU-RI-TR-00-05, Robotics Institute, Carnegie Mellon University, February, 2000
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pdf (963KB) | Copyrighted
- Influence and Variance of a Markov Chain: Application to Adaptive Discretization in Optimal Control
Remi Munos and Andrew Moore
IEEE Conference on Decision and Control, December, 1999, pp. 1464 - 1469.
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pdf (207KB) | Copyrighted
- Variable resolution discretization for high-accuracy solutions of optimal control problems
Remi Munos and Andrew Moore
International Joint Conference on Artificial Intelligence, August, 1999.
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pdf (431KB) | Copyrighted
- Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources
Andrew Moore, Jeff Schneider, Brigham Anderson, Scott Davies, Paul Komarek, Mary Soon Lee, Marina Meila, Remi Munos, Kary Myers, and Dan Pelleg
July, 1999.
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pdf (192KB) | Copyrighted
- Gradient Descent Approaches to Neural-Net-Based Solutions of the Hamilton-Jacobi-Bellman Equation
Remi Munos, Leemon Baird, and Andrew Moore
International Joint Conference on Neural Networks, July, 1999.
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pdf (192KB) | Copyrighted
- Accelerating Exact k-means Algorithms with Geometric Reasoning
Dan Pelleg and Andrew Moore
Knowledge Discovery from Databases (KDD '99), 1999.
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pdf (438KB) | Copyrighted
- Bayesian Networks for Lossless Dataset Compression
Scott Davies and Andrew Moore
1999 Knowledge Discovery from Databases (KDD '99), 1999.
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pdf (144KB) | Copyrighted
- Distributed Value Functions
Jeff Schneider, Weng-Keen Wong, Andrew Moore, and Martin Riedmiller
International Conference on Machine Learning, 1999.
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pdf (150KB) | Copyrighted
- Efficient Multi-Object Dynamic Query Histograms
Mark Derthick, James Harrison, Andrew Moore, and Steven F. Roth
Proceedings of the IEEE Information Visualization Conference (InfoVis '99), 1999.
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pdf (284KB) | Copyrighted
- Gradient Descent for General Reinforcement Learning
Leemon Baird and Andrew Moore
Advances in
Neural Information Processing Systems 11, , 1999
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pdf (48KB) | Copyrighted
- Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs
Andrew Moore, Leemon Baird, and Leslie Pack Kaelbling
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI '99), 1999.
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pdf (414KB) | Copyrighted
- Variable Resolution Discretization in Optimal Control
Remi Munos and Andrew Moore
Machine Learning Journal, , 1999
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pdf (535KB) | Copyrighted
- Barycentric Interpolator for Continuous Space and Time Reinforcement Learning
Remi Munos and Andrew Moore
Neural Information Processing Systems, December, 1998.
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pdf (170KB) | Copyrighted
- Stochastic production scheduling to meet demand forecasts
Jeff Schneider, Justin Boyan, and Andrew Moore
Proceedings of the 37th
IEEE Conference on Decision and Control, December, 1998, pp. 2722 - 2727.
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pdf (587KB) | Copyrighted
- Very Fast EM-based Mixture Model Clustering using Multiresolution kd-trees
Andrew Moore
Neural Information Systems Processing, , December, 1998,
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pdf (306KB) | Copyrighted
- ADtrees for Fast Counting and for Fast Learning of Association Rules
Brigham Anderson and Andrew Moore
Knowledge Discovery from Databases '98, , August, 1998,
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pdf (55KB) | Copyrighted
- On the Greediness of Feature Selection Algorithms
Kan Deng and Andrew Moore
International Conference of Machine Learning (ICML '98), June, 1998.
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pdf (67KB) | Copyrighted
- Q2: Memory-based active learning for optimizing noisy continuous functions
Andrew Moore, Jeff Schneider, Justin Boyan, and Mary Lee
International Conference of Machine Learning, June, 1998.
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pdf (721KB) | Copyrighted
- Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets
Andrew Moore and Mary Soon Lee
Journal of Artificial Intelligence Research, Vol. 8, March, 1998, pp. 67- 91.
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pdf (260KB) | Copyrighted
- Value Function Based Production Scheduling
Jeff Schneider, Justin Boyan, and Andrew Moore
Machine Learning: Proceedings of the Fifteenth International Conference (ICML '98), March, 1998.
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pdf (144KB) | Copyrighted
- On Greediness of Feature Selection Algorithms
Kan Deng and Andrew Moore
tech. report CMU-RI-TR-98-03, Robotics Institute, Carnegie Mellon University, February, 1998
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pdf (67KB) | Copyrighted
- Applying Online Search Techniques to Reinforcement Learning
Scott Davies, A. Y. Ng, and Andrew Moore
Fifteenth National Conference on Artificial Intelligence (AAAI), 1998.
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pdf (234KB) | Copyrighted
- Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
Justin Boyan and Andrew Moore
Fifteenth National Conference on Artificial Intelligence, 1998.
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pdf (240KB) | Copyrighted
- On-line Memory-based Detection of General Purpose Systems
Kan Deng, Andrew Moore, and Michael Nechyba
Neural Information Systems Processing 1998 (NIPS '98), 1998.
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pdf (0 Byte) | Copyrighted
- Cached Sufficient Statistics for Efficient Machine Learning with Large Databases
Andrew Moore and Mary Soon Lee
tech. report CMU-RI-TR-97-27, Robotics Institute, Carnegie Mellon University, July, 1997
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pdf (899KB) | Copyrighted
- Data Mining at CALD-CMU: Tools, Experiences and Research Directions.
C Faloutsos, G. Gibson, Tom Mitchell, Andrew Moore, and Sebastian Thrun
Proceedings of the AFCEA International's First Federal Data Mining Symposium, 1997.
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pdf (159KB) | Copyrighted
- Efficient Locally Weighted Polynomial Regression Predictions
Andrew Moore, Jeff Schneider, and Kan Deng
International Conference on Machine Learning, 1997.
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pdf (246KB) | Copyrighted
- Learning to Recognize Time Series: Combining ARMA models with Memory-based Learning
Kan Deng, Andrew Moore, and Michael Nechyba
IEEE Int. Symp. on Computational Intelligence in Robotics and Automation, 1997, pp. 246 - 250.
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pdf (462KB) | Copyrighted
- Locally Weighted Learning
C. G. Atkeson, S. A. Schaal, and Andrew Moore
AI Review, Vol. 11, 1997, pp. 11-73.
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pdf (972KB) | Copyrighted
- Locally Weighted Learning For Control
Andrew Moore, C. G. Atkeson, and S. A. Schaal
AI Review, Vol. 11, 1997, pp. 75-113.
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pdf (788KB) | Copyrighted
- Using Prediction to Improve Combinatorial Optimization Search
Justin Boyan and Andrew Moore
Sixth International Workshop on Artificial Intelligence and Statistics, 1997.
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pdf (201KB) | Copyrighted
- Learning Evaluation Functions for Large Acyclic Domains
Justin Boyan and Andrew Moore
Machine Learning: Proceedings of the Thirteenth International Conference, 1996.
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pdf (190KB) | Copyrighted
- Reinforcement Learning: A Survey
L.P. Kaelbling, M.L. Littman, and Andrew Moore
Journal of Artificial Intelligence Research, Vol. 4, 1996, pp. 237-285.
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pdf (442KB) | Copyrighted
- The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces
Andrew Moore and C. G. Atkeson
Machine Learning, Vol. 21, December, 1995,
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pdf (758KB) | Copyrighted
- Robust Value Function Approximation by Working Backwards
Justin Boyan and Andrew Moore
Proceedings of the Workshop on Value Function Approximation, Machine Learning Conference, July, 1995.
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pdf (213KB) | Copyrighted
- Learning Automated Product Recommendations Without Observable Features: An Initial Investigation
Mary S. Lee and Andrew Moore
tech. report CMU-RI-TR-95-17, Robotics Institute, Carnegie Mellon University, April, 1995
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pdf (237KB) | Copyrighted
- Memory-Based Learning for Control
Andrew Moore, C. G. Atkeson, and S. A. Schaal
tech. report CMU-RI-TR-95-18, Robotics Institute, Carnegie Mellon University, April, 1995
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pdf (731KB) | Copyrighted
- Variable Resolution Reinforcement Learning
Andrew Moore
tech. report CMU-RI-TR-95-19, Robotics Institute, Carnegie Mellon University, April, 1995
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pdf (459KB) | Copyrighted
- Generalization in Reinforcement Learning: Safely Approximating the Value Function
Justin Boyan and Andrew Moore
Advances in Neural Information Processing Systems 7, 1995.
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pdf (660KB) | Copyrighted
- Locally Weighted Bayesian Regression
Andrew Moore
1995.
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pdf (82KB) | Copyrighted
- Memory-based Stochastic Optimization
Andrew Moore and Jeff Schneider
Neural Information Processing Systems 8, 1995.
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pdf (269KB) | Copyrighted
- Multiresolution Instance-Based Learning
Andrew Moore, Jeff Schneider, and Kan Deng
Proceedings of International Joint Conference on Artificial Intelligence, 1995.
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pdf (78KB) | Copyrighted
- An Empirical Investigation of Brute Force to choose Features, Smoothers and Function Approximators
Andrew Moore, D. J. Hill, and M. P . Johnson
Computational Learning Theory and Natural Learning Systems, Vol. 3, 1994,
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pdf (412KB) | Copyrighted
- Efficient Algorithms for Minimizing Cross Validation Error
Andrew Moore and M. S. Lee
Proceedings of the 11th International Conference on Machine Learning, 1994.
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pdf (116KB) | Copyrighted
- Prioritized Sweeping: Reinforcement Learning with Less Data and Less Real Time
Andrew Moore and C. G. Atkeson
Machine Learning, Vol. 13, October, 1993,
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pdf (571KB) | Copyrighted
- Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation
O. Maron and Andrew Moore
Advances in Neural Information ProcessingSystems 6, 1993.
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pdf (141KB) | Copyrighted
- Memory-based Reinforcement Learning: Efficient Computation with Prioritized Sweeping
Andrew Moore and C. G. Atkeson
Advances in Neural Information Processing Systems 5, 1992.
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- Knowledge of Knowledge and Intelligent Experimentation for Learning Control
Andrew Moore
Proceedings of the 1991 Seattle International Joint Conference on Neural Networks, July, 1991, pp. 683 - 688.
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pdf (426KB) | Copyrighted
- Efficient Memory-based Learning for Robot Control
Andrew Moore
doctoral dissertation, tech. report , Robotics Institute, Carnegie Mellon University, March, 1991
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- An introductory tutorial on kd-trees
Andrew Moore
tech. report Technical Report No. 209, Computer Laboratory, University of Cambridge, , Carnegie Mellon University, 1991
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pdf (200KB) | Copyrighted
- Fast, Robust Adaptive Control by Learning only Forward Models
Andrew Moore
1991.
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- Variable Resolution Dynamic Programming: Efficiently Learning Action Maps in Multivariate Real-valued State-spaces
Andrew Moore
Proceedings of the Eighth International Conference on Machine Learning, 1991.
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- Acquisition of Dynamic Control Knowledge for a Robotic Manipulator
Andrew Moore
Proceedings of the 7th International Conference on Machine Learning, 1990.
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- Some Experiments in Adaptive State Space Robotics
W. F. Clocksin and Andrew Moore
Proceedings of the 7th AISB Conference, 1989.
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