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Publications, Andrew Moore
Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.
- Fast State Discovery for HMM Model Selection and Learning
S. Siddiqi, G. Gordon, and A. Moore
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AI-STATS), 2007.
[Abstract]
Download: pdf [221 KB], ps.gz [240 KB] copyrighted
- Scalable and robust group discovery on large transactional data
P. Choi, A. Moore, and J.M. Kubica
tech. report CMU-RI-TR-05-60, Robotics Institute, Carnegie Mellon University, December, 2005.
[Abstract]
Download: pdf [753 KB] copyrighted
- Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery
J.M. Kubica, J. Masiero, A. Moore, R. Jedicke, and A.J. Connolly
Neural Information Processing Systems, December, 2005.
[Abstract]
Download: pdf [204 KB] copyrighted
- Variable KD-Tree Algorithms for Efficient Spatial Pattern Search
J.M. Kubica, J. Masiero, A. Moore, R. Jedicke, and A.J. Connolly
tech. report CMU-RI-TR-05-43, Robotics Institute, Carnegie Mellon University, September, 2005.
[Abstract]
Download: pdf [4417 KB], ps.gz [457 KB] copyrighted
- A Multiple Tree Algorithm for the Efficient Association of Asteroid Observations
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM Press, August, 2005, pp. 138-146.
[Abstract]
- Efficiently Identifying Close Track/Observation Pairs in Continuous Timed Data
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
Proc. SPIE Signal and Data Processing of Small Targets, SPIE, August, 2005.
[Abstract]
- Fast Inference and Learning in Large-State-Space HMMs
S. Siddiqi and A. Moore
Proceedings of the 22nd International Conference on Machine Learning (ICML), August, 2005.
[Abstract]
Download: pdf [233 KB], ps.gz [196 KB] copyrighted
- Alias Detection in Link Data Sets
P. Hsiung, A. Moore, D. Neill, and J. Schneider
Proceedings of the International Conference on Intelligence Analysis, International Conference on Intelligence Analysis, May, 2005.
[Abstract]
- Making Logistic Regression A Core Data Mining Tool: A Practical Investigation of Accuracy, Speed, and Simplicity
P. Komarek and A. Moore
tech. report CMU-RI-TR-05-27, Robotics Institute, Carnegie Mellon University, May, 2005.
[Abstract]
Download: pdf [214 KB], ps.gz [70 KB] copyrighted
- Efficient Algorithms for the Identification of Potential Track/Observation Associations in Continuous Time Data
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
tech. report CMU-RI-TR-05-10, Robotics Institute, Carnegie Mellon University, February, 2005.
[Abstract]
Download: pdf [168 KB], ps.gz [375 KB] copyrighted
- Fast and Robust Track Initiation Using Multiple Trees
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
tech. report CMU-RI-TR-04-62, Robotics Institute, Carnegie Mellon University, November, 2004.
[Abstract]
Download: pdf [1196 KB], ps.gz [803 KB] copyrighted
- Spatial Data Structures for Efficient Trajectory-Based Queries
J.M. Kubica, A. Moore, A.J. Connolly, and R. Jedicke
tech. report CMU-RI-TR-04-61, Robotics Institute, Carnegie Mellon University, November, 2004.
[Abstract]
Download: pdf [510 KB], ps.gz [278 KB] copyrighted
- Fast Nonlinear Regression via Eigenimages Applied to Galactic Morphology
B. Anderson, A. Moore, A.J. Connolly, and R. Nichol
International Conference on Knowledge Discovery and Data Mining, ACM Press, New York, NY, August, 2004.
- Semantic based Biomedical Image Indexing and Retrieval
Y. Liu, N. Lazar, W.E. Rothfus, F. Dellaert, A. Moore, J. Schneider, and T. Kanade
Trends and Advances in
Content-Based Image and Video Retrieval, Shapiro, Kriegel, and Veltkamp, ed., February, 2004.
[Abstract]
Download: pdf [1371 KB] copyrighted
- Probabilistic Noise Identification and Data Cleaning
J.M. Kubica and A. Moore
The Third IEEE International Conference on Data Mining, IEEE Computer Society, November, 2003, pp. 131-138.
[Abstract]
Download: pdf [69 KB], ps.gz [56 KB] copyrighted
- Tractable Group Detection on Large Link Data Sets
J.M. Kubica, A. Moore, and J. Schneider
The Third IEEE International Conference on Data Mining, IEEE Computer Society, November, 2003, pp. 573-576.
[Abstract]
Download: pdf [2189 KB] copyrighted
- K-groups: Tractable Group Detection on Large Link Data Sets
J.M. Kubica, A. Moore, and J. Schneider
tech. report CMU-RI-TR-03-32, Robotics Institute, Carnegie Mellon University, September, 2003.
[Abstract]
Download: pdf [129 KB], ps.gz [74 KB] copyrighted
- cGraph: A Fast Graph-Based Method for Link Analysis and Queries
J.M. Kubica, A. Moore, D. Cohn, and J. Schneider
Proceedings of the 2003 IJCAI Text-Mining & Link-Analysis Workshop, August, 2003, pp. 22-31.
[Abstract]
Download: pdf [121 KB], ps.gz [97 KB] copyrighted
- Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries
J.M. Kubica, A. Moore, D. Cohn, and J. Schneider
Proceedings of the 2003 International Conference on Machine Learning, AAAI Press, August, 2003, pp. 392-399.
[Abstract]
Download: pdf [88 KB] copyrighted
- Probabilistic Noise Identification and Data Cleaning
J.M. Kubica and A. Moore
tech. report CMU-RI-TR-02-26, Robotics Institute, Carnegie Mellon University, October, 2002.
[Abstract]
Download: pdf [84 KB], ps.gz [51 KB] copyrighted
- Stochastic Link and Group Detection
J.M. Kubica, A. Moore, J. Schneider, and Y. Yang
The Eighteenth National Conference on Artificial Intelligence, August, 2002, pp. 798-804.
[Abstract]
- Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures
Y. Liu, F. Dellaert, W.E. Rothfus, A. Moore, J. Schneider, and T. Kanade
Proceedings of the 2001 Medical Imaging Computing and Computer Assisted Intervention Conference (MICCAI '01), Utrecht, The Netherlands, October, 2001.
Download: pdf [452 KB], ps.gz [652 KB] copyrighted
- Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous and Discrete Variables
S. Davies and A. Moore
tech. report CMU-CS-00-119, Computer Science Department, Carnegie Mellon University, April, 2000.
Download: pdf [405 KB], ps.gz [338 KB] copyrighted
- Q2: memory-based active learning for optimizing noisy continuous functions
A. Moore, J. Schneider, J. Boyan, and M.S. Lee
IEEE International Conference on Robotics and Automation (ICRA '00), Vol. 4, April, 2000, pp. 4095 - 4102.
[Abstract]
Download: pdf [650 KB] copyrighted
- A Locally Weighted Learning Tutorial using Vizier 1.0
J. Schneider and A. Moore
tech. report CMU-RI-TR-00-18, Robotics Institute, Carnegie Mellon University, February, 2000.
Download: pdf [720 KB], ps.gz [539 KB] copyrighted
- The Anchors Hierarchy: Using the triangle inequality to survive high dimensional data
A. Moore
tech. report CMU-RI-TR-00-05, Robotics Institute, Carnegie Mellon University, February, 2000.
[Abstract]
Download: pdf [963 KB] copyrighted
- Influence and Variance of a Markov Chain: Application to Adaptive Discretization in Optimal Control
R. Munos and A. Moore
IEEE Conference on Decision and Control, Vol. 2, December, 1999, pp. 1464 - 1469.
[Abstract]
Download: pdf [207 KB], ps.gz [180 KB] copyrighted
- Variable resolution discretization for high-accuracy solutions of optimal control problems
R. Munos and A. Moore
International Joint Conference on Artificial Intelligence, August, 1999.
[Abstract]
Download: pdf [430 KB], ps.gz [315 KB] copyrighted
- Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources
A. Moore, J. Schneider, B. Anderson, S. Davies, P. Komarek, M.S. Lee, M. Meila, R. Munos, K. Myers, and D. Pelleg
July, 1999.
Download: pdf [191 KB], ps.gz [113 KB] copyrighted
- Gradient Descent Approaches to Neural-Net-Based Solutions of the Hamilton-Jacobi-Bellman Equation
R. Munos, L. Baird, and A. Moore
International Joint Conference on Neural Networks, July, 1999.
[Abstract]
Download: pdf [192 KB], ps.gz [128 KB] copyrighted
- Accelerating Exact k-means Algorithms with Geometric Reasoning
D. Pelleg and A. Moore
Knowledge Discovery from Databases (KDD '99), 1999.
Download: pdf [437 KB], ps.gz [102 KB] copyrighted
- Bayesian Networks for Lossless Dataset Compression
S. Davies and A. Moore
1999 Knowledge Discovery from Databases (KDD '99), 1999.
Download: pdf [143 KB], ps.gz [42 KB] copyrighted
- Distributed Value Functions
J. Schneider, W. Wong, A. Moore, and M. Riedmiller
International Conference on Machine Learning, 1999.
Download: pdf [149 KB], ps.gz [54 KB] copyrighted
- Efficient Multi-Object Dynamic Query Histograms
M. Derthick, J. Harrison, A. Moore, and S.F. Roth
Proceedings of the IEEE Information Visualization Conference (InfoVis '99), 1999.
[Abstract]
Download: pdf [284 KB] copyrighted
- Gradient Descent for General Reinforcement Learning
L. Baird and A. Moore
Advances in
Neural Information Processing Systems 11, 1999.
[Abstract]
Download: pdf [48 KB], ps.gz [58 KB] copyrighted
- Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs
A. Moore, L. Baird, and L.P. Kaelbling
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI '99), 1999.
Download: pdf [414 KB], ps.gz [215 KB] copyrighted
- Variable Resolution Discretization in Optimal Control
R. Munos and A. Moore
Machine Learning Journal, 1999.
Download: pdf [534 KB], ps.gz [343 KB] copyrighted
- Barycentric Interpolator for Continuous Space and Time Reinforcement Learning
R. Munos and A. Moore
Neural Information Processing Systems, MIT Press, Vol. 11, December, 1998.
[Abstract]
Download: pdf [170 KB], ps.gz [48 KB] copyrighted
- Stochastic production scheduling to meet demand forecasts
J. Schneider, J. Boyan, and A. Moore
Proceedings of the 37th
IEEE Conference on Decision and Control, Vol. 3, December, 1998, pp. 2722 - 2727.
[Abstract]
Download: pdf [587 KB] copyrighted
- Very Fast EM-based Mixture Model Clustering using Multiresolution kd-trees
A. Moore
Neural Information Systems Processing, December, 1998.
Download: pdf [306 KB], ps.gz [187 KB] copyrighted
- ADtrees for Fast Counting and for Fast Learning of Association Rules
B. Anderson and A. Moore
Knowledge Discovery from Databases '98, August, 1998.
Download: pdf [55 KB] copyrighted
- On the Greediness of Feature Selection Algorithms
K. Deng and A. Moore
International Conference of Machine Learning (ICML '98), June, 1998.
[Abstract]
Download: pdf [67 KB], ps.gz [185 KB] copyrighted
- Q2: Memory-based active learning for optimizing noisy continuous functions
A. Moore, J. Schneider, J. Boyan, and M. Lee
International Conference of Machine Learning, June, 1998.
[Abstract]
Download: pdf [721 KB], ps.gz [491 KB] copyrighted
- Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets
A. Moore and M.S. Lee
Journal of Artificial Intelligence Research, Vol. 8, March, 1998, pp. 67- 91.
[Abstract]
Download: pdf [259 KB], ps.gz [90 KB] copyrighted
- Value Function Based Production Scheduling
J. Schneider, J. Boyan, and A. Moore
Machine Learning: Proceedings of the Fifteenth International Conference (ICML '98), March, 1998.
[Abstract]
Download: pdf [144 KB], ps.gz [77 KB] copyrighted
- On Greediness of Feature Selection Algorithms
K. Deng and A. Moore
tech. report CMU-RI-TR-98-03, Robotics Institute, Carnegie Mellon University, February, 1998.
[Abstract]
Download: pdf [67 KB], ps.gz [185 KB] copyrighted
- Applying Online Search Techniques to Reinforcement Learning
S. Davies, A.Y. Ng, and A. Moore
Fifteenth National Conference on Artificial Intelligence (AAAI), 1998.
Download: pdf [234 KB], ps.gz [117 KB] copyrighted
- Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
J. Boyan and A. Moore
Fifteenth National Conference on Artificial Intelligence, 1998.
Download: pdf [240 KB], ps.gz [103 KB] copyrighted
- On-line Memory-based Detection of General Purpose Systems
K. Deng, A. Moore, and M. Nechyba
Neural Information Systems Processing 1998 (NIPS '98), 1998.
Download: pdf [0 KB], ps.gz [84 KB] copyrighted
- Cached Sufficient Statistics for Efficient Machine Learning with Large Databases
A. Moore and M.S. Lee
tech. report CMU-RI-TR-97-27, Robotics Institute, Carnegie Mellon University, July, 1997.
[Abstract]
Download: pdf [899 KB] copyrighted
- Data Mining at CALD-CMU: Tools, Experiences and Research Directions.
C. Faloutsos, G. Gibson, T. Mitchell, A. Moore, and S. Thrun
Proceedings of the AFCEA International's First Federal Data Mining Symposium, 1997.
Download: pdf [159 KB], ps.gz [48 KB] copyrighted
- Efficient Locally Weighted Polynomial Regression Predictions
A. Moore, J. Schneider, and K. Deng
International Conference on Machine Learning, 1997.
Download: pdf [245 KB], ps.gz [146 KB] copyrighted
- Learning to Recognize Time Series: Combining ARMA models with Memory-based Learning
K. Deng, A. Moore, and M. Nechyba
IEEE Int. Symp. on Computational Intelligence in Robotics and Automation, Vol. 1, 1997, pp. 246 - 250.
[Abstract]
Download: pdf [461 KB], ps.gz [223 KB] copyrighted
- Locally Weighted Learning
C.G. Atkeson, S.A. Schaal, and A. Moore
AI Review, Vol. 11, 1997, pp. 11-73.
Download: pdf [971 KB], ps.gz [637 KB] copyrighted
- Locally Weighted Learning For Control
A. Moore, C.G. Atkeson, and S.A. Schaal
AI Review, Vol. 11, 1997, pp. 75-113.
Download: pdf [788 KB], ps.gz [439 KB] copyrighted
- Using Prediction to Improve Combinatorial Optimization Search
J. Boyan and A. Moore
Sixth International Workshop on Artificial Intelligence and Statistics, 1997.
Download: pdf [200 KB], ps.gz [105 KB] copyrighted
- Learning Evaluation Functions for Large Acyclic Domains
J. Boyan and A. Moore
Machine Learning: Proceedings of the Thirteenth International Conference, organ Kaufmann, 1996.
Download: pdf [189 KB], ps.gz [57 KB] copyrighted
- Reinforcement Learning: A Survey
L.P. Kaelbling, M.L. Littman, and A. Moore
Journal of Artificial Intelligence Research, Vol. 4, 1996, pp. 237-285.
Download: pdf [442 KB], ps.gz [242 KB] copyrighted
- The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces
A. Moore and C.G. Atkeson
Machine Learning, Vol. 21, December, 1995.
Download: pdf [758 KB], ps.gz [390 KB] copyrighted
- Robust Value Function Approximation by Working Backwards
J. Boyan and A. Moore
Proceedings of the Workshop on Value Function Approximation, Machine Learning Conference, July, 1995.
[Abstract]
Download: pdf [213 KB], ps.gz [57 KB] copyrighted
- Learning Automated Product Recommendations Without Observable Features: An Initial Investigation
M.S. Lee and A. Moore
tech. report CMU-RI-TR-95-17, Robotics Institute, Carnegie Mellon University, April, 1995.
[Abstract]
Download: pdf [237 KB], ps.gz [75 KB] copyrighted
- Memory-Based Learning for Control
A. Moore, C.G. Atkeson, and S.A. Schaal
tech. report CMU-RI-TR-95-18, Robotics Institute, Carnegie Mellon University, April, 1995.
[Abstract]
Download: pdf [730 KB], ps.gz [420 KB] copyrighted
- Variable Resolution Reinforcement Learning
A. Moore
tech. report CMU-RI-TR-95-19, Robotics Institute, Carnegie Mellon University, April, 1995.
[Abstract]
Download: pdf [458 KB] copyrighted
- Generalization in Reinforcement Learning: Safely Approximating the Value Function
J. Boyan and A. Moore
Advances in Neural Information Processing Systems 7, MIT Press, 1995.
Download: pdf [659 KB], ps.gz [487 KB], ps.z [760 KB] copyrighted
- Locally Weighted Bayesian Regression
A. Moore
1995.
Download: pdf [81 KB], ps.gz [23 KB] copyrighted
- Memory-based Stochastic Optimization
A. Moore and J. Schneider
Neural Information Processing Systems 8, 1995.
Download: pdf [269 KB], ps.gz [156 KB] copyrighted
- Multiresolution Instance-Based Learning
A. Moore, J. Schneider, and K. Deng
Proceedings of International Joint Conference on Artificial Intelligence, 1995.
Download: pdf [77 KB], ps.gz [52 KB] copyrighted
- An Empirical Investigation of Brute Force to choose Features, Smoothers and Function Approximators
A. Moore, D.J. Hill, and M.P. Johnson
Computational Learning Theory and Natural Learning Systems, Vol. 3, 1994.
Download: pdf [412 KB], ps.gz [301 KB], ps.z [411 KB] copyrighted
- Efficient Algorithms for Minimizing Cross Validation Error
A. Moore and M.S. Lee
Proceedings of the 11th International Conference on Machine Learning, Morgan Kaufmann, 1994.
Download: pdf [116 KB], ps.gz [51 KB] copyrighted
- Prioritized Sweeping: Reinforcement Learning with Less Data and Less Real Time
A. Moore and C.G. Atkeson
Machine Learning, Vol. 13, October, 1993.
Download: pdf [570 KB], ps.gz [167 KB], ps.z [248 KB] copyrighted
- Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation
O. Maron and A. Moore
Advances in Neural Information ProcessingSystems 6, Morgan Kaufmann, 1993.
Download: pdf [141 KB], ps.gz [39 KB] copyrighted
- Memory-based Reinforcement Learning: Efficient Computation with Prioritized Sweeping
A. Moore and C.G. Atkeson
Advances in Neural Information Processing Systems 5, Morgan Kaufmann, 1992.
- Knowledge of Knowledge and Intelligent Experimentation for Learning Control
A. Moore
Proceedings of the 1991 Seattle International Joint Conference on Neural Networks, Vol. 2, July, 1991, pp. 683 - 688.
[Abstract]
Download: pdf [426 KB] copyrighted
- Efficient Memory-based Learning for Robot Control
A. Moore
doctoral dissertation, Robotics Institute, Carnegie Mellon University, March, 1991.
- An introductory tutorial on kd-trees
A. Moore
tech. report Technical Report No. 209, Computer Laboratory, University of Cambridge, Robotics Institute, Carnegie Mellon University, 1991.
Download: pdf [200 KB], ps.gz [60 KB] copyrighted
- Fast, Robust Adaptive Control by Learning only Forward Models
A. Moore
Morgan Kaufmann, 1991.
- Variable Resolution Dynamic Programming: Efficiently Learning Action Maps in Multivariate Real-valued State-spaces
A. Moore
Proceedings of the Eighth International Conference on Machine Learning, Morgan Kaufmann, 1991.
- Acquisition of Dynamic Control Knowledge for a Robotic Manipulator
A. Moore
Proceedings of the 7th International Conference on Machine Learning, Morgan Kaufmann, 1990.
- Some Experiments in Adaptive State Space Robotics
W.F. Clocksin and A. Moore
Proceedings of the 7th AISB Conference, Morgan Kaufmann, 1989.
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