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Note: Links lead to the DBLP on the Web. Andrew W. Moore 46 Weng-Keen Wong , Andrew W. Moore, Gregory F. Cooper , Michael Wagner : Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. AAAI/IAAI 2002 : 217-223 45 Jeremy Kubica , Andrew W. Moore, Jeff G. Schneider , Yiming Yang : Stochastic Link and Group Detection. AAAI/IAAI 2002 : 798- 44 Amitabh Chaudhary , Alexander S. Szalay , Andrew W. Moore: Very Fast Outlier Detection in Large Multidimensional Data Sets. DMKD 2002 43 Rémi Munos , Andrew W. Moore: Variable Resolution Discretization in Optimal Control. Machine Learning 49 (2-3): 291-323 (2002) 42 Dan Pelleg , Andrew W. Moore: Mixtures of Rectangles: Interpretable Soft Clustering. ICML 2001 : 401-408 41 Peter Sand , Andrew W. Moore: Repairing Faulty Mixture Models using Density Estimation. ICML 2001 : 457-464 40 Malcolm J. A. Strens , Andrew W. Moore: Direct Policy Search using Paired Statistical Tests. ICML 2001 : 545-552 39 Martin A. Riedmiller , Andrew W. Moore, Jeff G. Schneider : Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids. Balancing Reactivity and Social Deliberation in Multi-Agent Systems 2000 : 137-149 38 Paul Komarek , Andrew W. Moore: A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets. ICML 2000 : 495-502 37 Rémi Munos , Andrew W. Moore: Rates of Convergence for Variable Resolution Schemes in Optimal Control. ICML 2000 : 647-654 36 Dan Pelleg , Andrew W. Moore: X-means: Extending K-means with Efficient Estimation of the Number of Clusters. ICML 2000 : 727-734 35 Alexander G. Gray , Andrew W. Moore: `N-Body' Problems in Statistical Learning. NIPS 2000 : 521-527 34 Scott Davies , Andrew W. Moore: Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables. UAI 2000 : 168-175 33 Andrew W. Moore: The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data. UAI 2000 : 397-405 32 Justin A. Boyan , Andrew W. Moore: Learning Evaluation Functions to Improve Optimization by Local Search. Journal of Machine Learning Research 1 : 77-112 (2000) 31 Jeff G. Schneider , Weng-Keen Wong , Andrew W. Moore, Martin A. Riedmiller : Distributed Value Functions. ICML 1999 : 371-378 30 Andrew W. Moore, Leemon Baird , Leslie Pack Kaelbling : Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs. IJCAI 1999 : 1316-1323 29 Rémi Munos , Andrew W. Moore: Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems. IJCAI 1999 : 1348-1355 28 Dan Pelleg , Andrew W. Moore: Accelerating Exact k -means Algorithms with Geometric Reasoning. KDD 1999 : 277-281 27 Scott Davies , Andrew W. Moore: Bayesian Networks for Lossless Dataset Compression. KDD 1999 : 387-391 26 Justin A. Boyan , Andrew W. Moore: Learning Evaluation Functions for Global Optimization and Boolean Satisfiability. AAAI/IAAI 1998 : 3-10 25 Andrew W. Moore, Jeff G. Schneider , Justin A. Boyan , Mary S. Lee : Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICML 1998 : 386-394 24 Jeff G. Schneider , Justin A. Boyan , Andrew W. Moore: Value Function Based Production Scheduling. ICML 1998 : 522-530 23 Brigham S. Anderson , Andrew W. Moore: ADtrees for Fast Counting and for Fast Learning of Association Rules. KDD 1998 : 134-138 22 Rémi Munos , Andrew W. Moore: Barycentric Interpolators for Continuous Space and Time Reinforcement Learning. NIPS 1998 : 1024-1030 21 Andrew W. Moore: Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees. NIPS 1998 : 543-549 20 Leemon Baird , Andrew W. Moore: Gradient Descent for General Reinforcement Learning. NIPS 1998 : 968-974 19 Andrew W. Moore, Mary S. Lee : Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets. JAIR 8 : 67-91 (1998) 18 Andrew W. Moore, Jeff G. Schneider , Kan Deng : Efficient Locally Weighted Polynomial Regression Predictions. ICML 1997 : 236-244 17 Christopher G. Atkeson , Andrew W. Moore, Stefan Schaal : Locally Weighted Learning. Artificial Intelligence Review 11 (1-5): 11-73 (1997) 16 Oded Maron , Andrew W. Moore: The Racing Algorithm: Model Selection for Lazy Learners. Artificial Intelligence Review 11 (1-5): 193-225 (1997) 15 Christopher G. Atkeson , Andrew W. Moore, Stefan Schaal : Locally Weighted Learning for Control. Artificial Intelligence Review 11 (1-5): 75-113 (1997) 14 Andrew W. Moore: Reinforcement Learning in Factories: The Auton Project (Abstract). ICML 1996 : 556 13 Justin A. Boyan , Andrew W. Moore: Learning Evaluation Functions for Large Acyclic Domains. ICML 1996 : 63-70 12 Kan Deng , Andrew W. Moore: Multiresolution Instance-Based Learning. IJCAI 1995 : 1233-1242 11 Andrew W. Moore, Jeff G. Schneider : Memory-based Stochastic Optimization. NIPS 1995 : 1066-1072 10 Andrew W. Moore, Christopher G. Atkeson : The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces. Machine Learning 21 (3): 199-233 (1995) 9 Andrew W. Moore, Mary S. Lee : Efficient Algorithms for Minimizing Cross Validation Error. ICML 1994 : 190-198 8 Justin A. Boyan , Andrew W. Moore: Generalization in Reinforcement Learning: Safely Approximating the Value Function. NIPS 1994 : 369-376 7 Thomas G. Dietterich , Dietrich Wettschereck , Christopher G. Atkeson , Andrew W. Moore: Memory-Based Methods for Regression and Classification. NIPS 1993 : 1165-1166 6 Oded Maron , Andrew W. Moore: Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation. NIPS 1993 : 59-66 5 Andrew W. Moore: The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces. NIPS 1993 : 711-718 4 Andrew W. Moore, Christopher G. Atkeson : Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time. Machine Learning 13 : 103-130 (1993) 3 Andrew W. Moore, Christopher G. Atkeson : Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping. NIPS 1992 : 263-270 2 Andrew W. Moore: Variable Resolution Dynamic Programming. ML 1991 : 333-337 1 Andrew W. Moore: Acquisition of Dynamic Control Knowledge for a Robotic Manipulator. ML 1990 : 244-252  DiSC'03 © 2003 Association for Computing Machinery |
