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Andrew W. Moore: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Justin A. Boyan, Andrew W. Moore
    Learning Evaluation Functions for Global Optimization and Boolean Satisfiability. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:3-10 [Conf]
  2. Scott Davies, Andrew Y. Ng, Andrew Moore
    Applying Online Search Techniques to Continuous-State Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:753-760 [Conf]
  3. Artur Dubrawski, Kimberly Elenberg, Andrew Moore, Maheshkumar Sabhnani
    Monitoring Food Safety by Detecting Patterns in Consumer Complaints. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  4. Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider, Yiming Yang
    Stochastic Link and Group Detection. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:798-0 [Conf]
  5. Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael Wagner
    Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:217-223 [Conf]
  6. Amitabh Chaudhary, Alexander S. Szalay, Andrew W. Moore
    Very Fast Outlier Detection in Large Multidimensional Data Sets. [Citation Graph (0, 0)][DBLP]
    DMKD, 2002, pp:- [Conf]
  7. Martin A. Riedmiller, Andrew W. Moore, Jeff G. Schneider
    Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids. [Citation Graph (0, 0)][DBLP]
    Balancing Reactivity and Social Deliberation in Multi-Agent Systems, 2000, pp:137-149 [Conf]
  8. Paul Komarek, Andrew W. Moore
    Making Logistic Regression a Core Data Mining Tool with TR-IRLS. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:685-688 [Conf]
  9. Jeremy Kubica, Andrew W. Moore
    Probabilistic Noise Identification and Data Cleaning. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:131-138 [Conf]
  10. Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider
    Tractable Group Detection on Large Link Data Sets. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:573-576 [Conf]
  11. Brigham S. Anderson, Andrew W. Moore, David Cohn
    A Nonparametric Approach to Noisy and Costly Optimization. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:17-24 [Conf]
  12. Justin A. Boyan, Andrew W. Moore
    Learning Evaluation Functions for Large Acyclic Domains. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:63-70 [Conf]
  13. Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G. Schneider
    Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:392-399 [Conf]
  14. Paul Komarek, Andrew W. Moore
    A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:495-502 [Conf]
  15. Andrew W. Moore
    Acquisition of Dynamic Control Knowledge for a Robotic Manipulator. [Citation Graph (0, 0)][DBLP]
    ML, 1990, pp:244-252 [Conf]
  16. Andrew W. Moore
    Variable Resolution Dynamic Programming. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:333-337 [Conf]
  17. Andrew W. Moore
    Reinforcement Learning in Factories: The Auton Project (Abstract). [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:556- [Conf]
  18. Andrew W. Moore, Mary S. Lee
    Efficient Algorithms for Minimizing Cross Validation Error. [Citation Graph (0, 0)][DBLP]
    ICML, 1994, pp:190-198 [Conf]
  19. Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee
    Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:386-394 [Conf]
  20. Andrew W. Moore, Jeff G. Schneider, Kan Deng
    Efficient Locally Weighted Polynomial Regression Predictions. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:236-244 [Conf]
  21. Andrew W. Moore, Weng-Keen Wong
    Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:552-559 [Conf]
  22. Rémi Munos, Andrew W. Moore
    Rates of Convergence for Variable Resolution Schemes in Optimal Control. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:647-654 [Conf]
  23. Dan Pelleg, Andrew W. Moore
    X-means: Extending K-means with Efficient Estimation of the Number of Clusters. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:727-734 [Conf]
  24. Dan Pelleg, Andrew W. Moore
    Mixtures of Rectangles: Interpretable Soft Clustering. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:401-408 [Conf]
  25. Josep Roure, Andrew W. Moore
    Sequential update of ADtrees. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:769-776 [Conf]
  26. Peter Sand, Andrew W. Moore
    Repairing Faulty Mixture Models using Density Estimation. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:457-464 [Conf]
  27. Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore
    Value Function Based Production Scheduling. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:522-530 [Conf]
  28. Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller
    Distributed Value Functions. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:371-378 [Conf]
  29. Malcolm J. A. Strens, Andrew W. Moore
    Direct Policy Search using Paired Statistical Tests. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:545-552 [Conf]
  30. Sajid M. Siddiqi, Andrew W. Moore
    Fast inference and learning in large-state-space HMMs. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:800-807 [Conf]
  31. Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael Wagner
    Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:808-815 [Conf]
  32. Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee
    Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. [Citation Graph (0, 0)][DBLP]
    ICRA, 2000, pp:4096-0 [Conf]
  33. Kan Deng, Andrew W. Moore
    Multiresolution Instance-Based Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1233-1242 [Conf]
  34. Andrew W. Moore, Leemon C. Baird III, Leslie Pack Kaelbling
    Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1316-1323 [Conf]
  35. Rémi Munos, Andrew W. Moore
    Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1348-1355 [Conf]
  36. Brigham Anderson, Andrew W. Moore, Andrew Connolly, Robert Nichol
    Fast nonlinear regression via eigenimages applied to galactic morphology. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:40-48 [Conf]
  37. Brigham S. Anderson, Andrew W. Moore
    ADtrees for Fast Counting and for Fast Learning of Association Rules. [Citation Graph (0, 0)][DBLP]
    KDD, 1998, pp:134-138 [Conf]
  38. Kaustav Das, Andrew W. Moore, Jeff G. Schneider
    Belief state approaches to signaling alarms in surveillance systems. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:539-544 [Conf]
  39. Scott Davies, Andrew W. Moore
    Bayesian Networks for Lossless Dataset Compression. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:387-391 [Conf]
  40. Jeremy Kubica, Andrew W. Moore, Andrew Connolly, Robert Jedicke
    A multiple tree algorithm for the efficient association of asteroid observations. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:138-146 [Conf]
  41. Ting Liu, Ke Yang, Andrew W. Moore
    The IOC algorithm: efficient many-class non-parametric classification for high-dimensional data. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:629-634 [Conf]
  42. Daniel B. Neill, Andrew W. Moore
    Rapid detection of significant spatial clusters. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:256-265 [Conf]
  43. Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabhnani, Kenny Daniel
    Detection of emerging space-time clusters. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:218-227 [Conf]
  44. Dan Pelleg, Andrew W. Moore
    Accelerating Exact k-means Algorithms with Geometric Reasoning. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:277-281 [Conf]
  45. Yanxi Liu, Frank Dellaert, William E. Rothfus, Andrew W. Moore, Jeff G. Schneider, Takeo Kanade
    Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2001, pp:655-665 [Conf]
  46. Leemon C. Baird III, Andrew W. Moore
    Gradient Descent for General Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:968-974 [Conf]
  47. Brigham Anderson, Andrew W. Moore
    Fast Information Value for Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  48. Justin A. Boyan, Andrew W. Moore
    Generalization in Reinforcement Learning: Safely Approximating the Value Function. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:369-376 [Conf]
  49. Thomas G. Dietterich, Dietrich Wettschereck, Christopher G. Atkeson, Andrew W. Moore
    Memory-Based Methods for Regression and Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1165-1166 [Conf]
  50. Alexander G. Gray, Andrew W. Moore
    `N-Body' Problems in Statistical Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:521-527 [Conf]
  51. Jeremy Kubica, Joseph Masiero, Andrew W. Moore, Robert Jedicke, Andrew Connolly
    Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  52. Dongryeol Lee, Alexander G. Gray, Andrew W. Moore
    Dual-Tree Fast Gauss Transforms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  53. Ting Liu, Andrew W. Moore, Alexander G. Gray
    Efficient Exact k-NN and Nonparametric Classification in High Dimensions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  54. Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Yang
    An Investigation of Practical Approximate Nearest Neighbor Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  55. Oded Maron, Andrew W. Moore
    Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:59-66 [Conf]
  56. Andrew W. Moore
    Fast, Robust Adaptive Control by Learning only Forward Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:571-578 [Conf]
  57. Andrew W. Moore
    The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:711-718 [Conf]
  58. Andrew W. Moore
    Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:543-549 [Conf]
  59. Andrew W. Moore, Christopher G. Atkeson
    Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:263-270 [Conf]
  60. Andrew Moore, John Allman, Geoffrey Fox, Rodney M. Goodman
    A VLSI Neural Network for Color Constancy. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:370-376 [Conf]
  61. Andrew W. Moore, Jeff G. Schneider
    Memory-based Stochastic Optimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:1066-1072 [Conf]
  62. Rémi Munos, Andrew W. Moore
    Barycentric Interpolators for Continuous Space and Time Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:1024-1030 [Conf]
  63. Daniel B. Neill, Andrew W. Moore
    A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  64. Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper
    A Bayesian Spatial Scan Statistic. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  65. Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell
    Detecting Significant Multidimensional Spatial Clusters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  66. Dan Pelleg, Andrew W. Moore
    Using Tarjan's Red Rule for Fast Dependency Tree Construction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:801-808 [Conf]
  67. Dan Pelleg, Andrew W. Moore
    Active Learning for Anomaly and Rare-Category Detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  68. Purnamrita Sarkar, Andrew W. Moore
    Dynamic Social Network Analysis using Latent Space Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  69. Andrew W. Moore, Konstantina Papagiannaki
    Toward the Accurate Identification of Network Applications. [Citation Graph (0, 0)][DBLP]
    PAM, 2005, pp:41-54 [Conf]
  70. Denis Zuev, Andrew W. Moore
    Traffic Classification Using a Statistical Approach. [Citation Graph (0, 0)][DBLP]
    PAM, 2005, pp:321-324 [Conf]
  71. Khalid El-Arini, Andrew W. Moore, Ting Liu
    Autonomous Visualization. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:495-502 [Conf]
  72. Alexander G. Gray, Andrew W. Moore
    Nonparametric Density Estimation: Toward Computational Tractability. [Citation Graph (0, 0)][DBLP]
    SDM, 2003, pp:- [Conf]
  73. Andrew W. Moore, Denis Zuev
    Internet traffic classification using bayesian analysis techniques. [Citation Graph (0, 0)][DBLP]
    SIGMETRICS, 2005, pp:50-60 [Conf]
  74. Scott Davies, Andrew W. Moore
    Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:168-175 [Conf]
  75. Scott Davies, Andrew W. Moore
    Interpolating Conditional Density Trees. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:119-127 [Conf]
  76. Andrew W. Moore
    The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:397-405 [Conf]
  77. Andrew W. Moore, Jeff G. Schneider
    Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:360-369 [Conf]
  78. Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal
    Locally Weighted Learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1997, v:11, n:1-5, pp:11-73 [Journal]
  79. Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal
    Locally Weighted Learning for Control. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1997, v:11, n:1-5, pp:75-113 [Journal]
  80. Oded Maron, Andrew W. Moore
    The Racing Algorithm: Model Selection for Lazy Learners. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1997, v:11, n:1-5, pp:193-225 [Journal]
  81. Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore
    Reinforcement Learning: A Survey [Citation Graph (0, 0)][DBLP]
    CoRR, 1996, v:0, n:, pp:- [Journal]
  82. Andrew W. Moore, Mary S. Lee
    Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets [Citation Graph (0, 0)][DBLP]
    CoRR, 1998, v:0, n:, pp:- [Journal]
  83. Andrew W. Moore, Mary S. Lee
    Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1998, v:8, n:, pp:67-91 [Journal]
  84. David L. Buckeridge, Howard Burkom, Murray Campbell, William R. Hogan, Andrew W. Moore
    Algorithms for rapid outbreak detection: a research synthesis. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2005, v:38, n:2, pp:99-113 [Journal]
  85. Andrew W. Moore
    An implementation-based comparison of Measurement-Based Admission Control algorithms. [Citation Graph (0, 0)][DBLP]
    J. High Speed Networks, 2004, v:13, n:2, pp:87-102 [Journal]
  86. Justin A. Boyan, Andrew W. Moore
    Learning Evaluation Functions to Improve Optimization by Local Search. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2000, v:1, n:, pp:77-112 [Journal]
  87. Malcolm J. A. Strens, Andrew W. Moore
    Policy Search using Paired Comparisons. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:921-950 [Journal]
  88. Ting Liu, Andrew W. Moore, Alexander G. Gray
    New Algorithms for Efficient High-Dimensional Nonparametric Classification. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1135-1158 [Journal]
  89. Rémi Munos, Andrew W. Moore
    Variable Resolution Discretization in Optimal Control. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:49, n:2-3, pp:291-323 [Journal]
  90. Andrew W. Moore, Christopher G. Atkeson
    Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1993, v:13, n:, pp:103-130 [Journal]
  91. Andrew W. Moore, Christopher G. Atkeson
    The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1995, v:21, n:3, pp:199-233 [Journal]
  92. Purnamrita Sarkar, Andrew W. Moore
    Dynamic social network analysis using latent space models. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2005, v:7, n:2, pp:31-40 [Journal]
  93. Andrew W. Moore, A. J. McGregor, Jim W. Breen
    A Comparison of System Monitoring Methods, Passive Network Monitoring and Kernel Instrumentation. [Citation Graph (0, 0)][DBLP]
    Operating Systems Review, 1996, v:30, n:1, pp:16-38 [Journal]
  94. Dan Pelleg, Andrew W. Moore
    Dependency trees in sub-linear time and bounded memory. [Citation Graph (0, 0)][DBLP]
    VLDB J., 2006, v:15, n:3, pp:250-262 [Journal]

  95. Tracking elephant flows in internet backbone traffic with an FPGA-based cache. [Citation Graph (, )][DBLP]


  96. Fast incremental proximity search in large graphs. [Citation Graph (, )][DBLP]


  97. Fast nearest-neighbor search in disk-resident graphs. [Citation Graph (, )][DBLP]


  98. A Machine Learning Approach for Efficient Traffic Classification. [Citation Graph (, )][DBLP]


  99. Predicting the Performance of Virtual Machine Migration. [Citation Graph (, )][DBLP]


  100. GTVS: Boosting the Collection of Application Traffic Ground Truth. [Citation Graph (, )][DBLP]


  101. Fast dynamic reranking in large graphs. [Citation Graph (, )][DBLP]


  102. Tuning Topology Generators Using Spectral Distributions. [Citation Graph (, )][DBLP]


  103. Probabilistic graphical models for semi-supervised traffic classification. [Citation Graph (, )][DBLP]


  104. Learning for accurate classification of real-time traffic. [Citation Graph (, )][DBLP]


  105. Synergy: blending heterogeneous measurement elements for effective network monitoring. [Citation Graph (, )][DBLP]


  106. Mixing Biases: Structural Changes in the AS Topology Evolution. [Citation Graph (, )][DBLP]


  107. Modeling internet topology dynamics. [Citation Graph (, )][DBLP]


  108. IMRG workshop on application classification and identification report. [Citation Graph (, )][DBLP]


  109. Efficient application identification and the temporal and spatial stability of classification schema. [Citation Graph (, )][DBLP]


  110. Network topologies: Inference, modeling, and generation. [Citation Graph (, )][DBLP]


  111. Beyond Node Degree: Evaluating AS Topology Models [Citation Graph (, )][DBLP]


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