Andrew W. Moore

	2009
108		Marco Canini, Wei Li, Andrew W. Moore, Raffaele Bolla: GTVS: Boosting the Collection of Application Traffic Ground Truth. TMA 2009: 54-63
107		Purnamrita Sarkar, Andrew W. Moore: Fast dynamic reranking in large graphs. WWW 2009: 31-40
106		Wei Li, Marco Canini, Andrew W. Moore, Raffaele Bolla: Efficient application identification and the temporal and spatial stability of classification schema. Computer Networks 53(6): 790-809 (2009)
	2008
105		Purnamrita Sarkar, Andrew W. Moore, Amit Prakash: Fast incremental proximity search in large graphs. ICML 2008: 896-903
104		Hamed Haddadi, Damien Fay, Steve Uhlig, Andrew W. Moore, Richard Mortier, Almerima Jamakovic, Miguel Rio: Tuning Topology Generators Using Spectral Distributions. SIPEW 2008: 154-173
103		Hamed Haddadi, Damien Fay, Almerima Jamakovic, Olaf Maennel, Andrew W. Moore, Richard Mortier, Miguel Rio, Steve Uhlig: Beyond Node Degree: Evaluating AS Topology Models CoRR abs/0807.2023: (2008)
102		Hamed Haddadi, Steve Uhlig, Andrew W. Moore, Richard Mortier, Miguel Rio: Modeling internet topology dynamics. Computer Communication Review 38(2): 65-68 (2008)
101		Tim Strayer, Mark Allman, Grenville J. Armitage, Steve Bellovin, Shudong Jin, Andrew W. Moore: IMRG workshop on application classification and identification report. Computer Communication Review 38(3): 87-90 (2008)
100		Hamed Haddadi, Miguel Rio, Gianluca Iannaccone, Andrew W. Moore, Richard Mortier: Network topologies: Inference, modeling, and generation. IEEE Communications Surveys and Tutorials 10(1-4): 48-69 (2008)
	2007
99		Wei Li, Andrew W. Moore: A Machine Learning Approach for Efficient Traffic Classification. MASCOTS 2007: 310-317
98		Tom Auld, Andrew W. Moore, Stephen F. Gull: Bayesian Neural Networks for Internet Traffic Classification. IEEE Transactions on Neural Networks 18(1): 223-239 (2007)
	2006
97		Artur Dubrawski, Kimberly Elenberg, Andrew W. Moore, Maheshkumar Sabhnani: Monitoring Food Safety by Detecting Patterns in Consumer Complaints. AAAI 2006
96		Wei Li, Andrew W. Moore: Learning for accurate classification of real-time traffic. CoNEXT 2006: 36
95		Awais Ahmed Awan, Andrew W. Moore: Synergy: blending heterogeneous measurement elements for effective network monitoring. CoNEXT 2006: 41
94		Josep Roure, Andrew W. Moore: Sequential update of ADtrees. ICML 2006: 769-776
93		Khalid El-Arini, Andrew W. Moore, Ting Liu: Autonomous Visualization. PKDD 2006: 495-502
92		Ting Liu, Andrew W. Moore, Alexander G. Gray: New Algorithms for Efficient High-Dimensional Nonparametric Classification. Journal of Machine Learning Research 7: 1135-1158 (2006)
91		Dan Pelleg, Andrew W. Moore: Dependency trees in sub-linear time and bounded memory. VLDB J. 15(3): 250-262 (2006)
	2005
90		Paul Komarek, Andrew W. Moore: Making Logistic Regression a Core Data Mining Tool with TR-IRLS. ICDM 2005: 685-688
89		Sajid M. Siddiqi, Andrew W. Moore: Fast inference and learning in large-state-space HMMs. ICML 2005: 800-807
88		Jeremy Kubica, Andrew W. Moore, Andrew Connolly, Robert Jedicke: A multiple tree algorithm for the efficient association of asteroid observations. KDD 2005: 138-146
87		Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabhnani, Kenny Daniel: Detection of emerging space-time clusters. KDD 2005: 218-227
86		Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper: A Bayesian Spatial Scan Statistic. NIPS 2005
85		Dongryeol Lee, Alexander G. Gray, Andrew W. Moore: Dual-Tree Fast Gauss Transforms. NIPS 2005
84		Purnamrita Sarkar, Andrew W. Moore: Dynamic Social Network Analysis using Latent Space Models. NIPS 2005
83		Brigham Anderson, Andrew W. Moore: Fast Information Value for Graphical Models. NIPS 2005
82		Jeremy Kubica, Joseph Masiero, Andrew W. Moore, Robert Jedicke, Andrew Connolly: Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery. NIPS 2005
81		Denis Zuev, Andrew W. Moore: Traffic Classification Using a Statistical Approach. PAM 2005: 321-324
80		Andrew W. Moore, Konstantina Papagiannaki: Toward the Accurate Identification of Network Applications. PAM 2005: 41-54
79		Andrew W. Moore, Denis Zuev: Internet traffic classification using bayesian analysis techniques. SIGMETRICS 2005: 50-60
78		David L. Buckeridge, Howard Burkom, Murray Campbell, William R. Hogan, Andrew W. Moore: Algorithms for rapid outbreak detection: a research synthesis. Journal of Biomedical Informatics 38(2): 99-113 (2005)
77		Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner: What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks. Journal of Machine Learning Research 6: 1961-1998 (2005)
76		Purnamrita Sarkar, Andrew W. Moore: Dynamic social network analysis using latent space models. SIGKDD Explorations 7(2): 31-40 (2005)
	2004
75		Daniel B. Neill, Andrew W. Moore: Rapid detection of significant spatial clusters. KDD 2004: 256-265
74		Brigham Anderson, Andrew W. Moore, Andrew Connolly, Robert Nichol: Fast nonlinear regression via eigenimages applied to galactic morphology. KDD 2004: 40-48
73		Kaustav Das, Andrew W. Moore, Jeff G. Schneider: Belief state approaches to signaling alarms in surveillance systems. KDD 2004: 539-544
72		Ting Liu, Ke Yang, Andrew W. Moore: The IOC algorithm: efficient many-class non-parametric classification for high-dimensional data. KDD 2004: 629-634
71		Dan Pelleg, Andrew W. Moore: Active Learning for Anomaly and Rare-Category Detection. NIPS 2004
70		Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Yang: An Investigation of Practical Approximate Nearest Neighbor Algorithms. NIPS 2004
69		Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell: Detecting Significant Multidimensional Spatial Clusters. NIPS 2004
68		Andrew W. Moore: An implementation-based comparison of Measurement-Based Admission Control algorithms. J. High Speed Networks 13(2): 87-102 (2004)
	2003
67		Jeremy Kubica, Andrew W. Moore: Probabilistic Noise Identification and Data Cleaning. ICDM 2003: 131-138
66		Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider: Tractable Group Detection on Large Link Data Sets. ICDM 2003: 573-576
65		Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G. Schneider: Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries. ICML 2003: 392-399
64		Andrew W. Moore, Weng-Keen Wong: Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. ICML 2003: 552-559
63		Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner: Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. ICML 2003: 808-815
62		Daniel B. Neill, Andrew W. Moore: A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters. NIPS 2003
61		Ting Liu, Andrew W. Moore, Alexander G. Gray: Efficient Exact k-NN and Nonparametric Classification in High Dimensions. NIPS 2003
60		Alexander G. Gray, Andrew W. Moore: Nonparametric Density Estimation: Toward Computational Tractability. SDM 2003
	2002
59		Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner: Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. AAAI/IAAI 2002: 217-223
58		Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider, Yiming Yang: Stochastic Link and Group Detection. AAAI/IAAI 2002: 798-
57		Amitabh Chaudhary, Alexander S. Szalay, Andrew W. Moore: Very Fast Outlier Detection in Large Multidimensional Data Sets. DMKD 2002
56		Dan Pelleg, Andrew W. Moore: Using Tarjan's Red Rule for Fast Dependency Tree Construction. NIPS 2002: 801-808
55		Scott Davies, Andrew W. Moore: Interpolating Conditional Density Trees. UAI 2002: 119-127
54		Andrew W. Moore, Jeff G. Schneider: Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes. UAI 2002: 360-369
53		Malcolm J. A. Strens, Andrew W. Moore: Policy Search using Paired Comparisons. Journal of Machine Learning Research 3: 921-950 (2002)
52		Rémi Munos, Andrew W. Moore: Variable Resolution Discretization in Optimal Control. Machine Learning 49(2-3): 291-323 (2002)
	2001
51		Dan Pelleg, Andrew W. Moore: Mixtures of Rectangles: Interpretable Soft Clustering. ICML 2001: 401-408
50		Peter Sand, Andrew W. Moore: Repairing Faulty Mixture Models using Density Estimation. ICML 2001: 457-464
49		Malcolm J. A. Strens, Andrew W. Moore: Direct Policy Search using Paired Statistical Tests. ICML 2001: 545-552
48		Yanxi Liu, Frank Dellaert, William E. Rothfus, Andrew W. Moore, Jeff G. Schneider, Takeo Kanade: Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures. MICCAI 2001: 655-665
	2000
47		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
46		Brigham S. Anderson, Andrew W. Moore, David Cohn: A Nonparametric Approach to Noisy and Costly Optimization. ICML 2000: 17-24
45		Paul Komarek, Andrew W. Moore: A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets. ICML 2000: 495-502
44		Rémi Munos, Andrew W. Moore: Rates of Convergence for Variable Resolution Schemes in Optimal Control. ICML 2000: 647-654
43		Dan Pelleg, Andrew W. Moore: X-means: Extending K-means with Efficient Estimation of the Number of Clusters. ICML 2000: 727-734
42		Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee: Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICRA 2000: 4096-
41		Alexander G. Gray, Andrew W. Moore: `N-Body' Problems in Statistical Learning. NIPS 2000: 521-527
40		Scott Davies, Andrew W. Moore: Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables. UAI 2000: 168-175
39		Andrew W. Moore: The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data. UAI 2000: 397-405
38		Justin A. Boyan, Andrew W. Moore: Learning Evaluation Functions to Improve Optimization by Local Search. Journal of Machine Learning Research 1: 77-112 (2000)
	1999
37		Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller: Distributed Value Functions. ICML 1999: 371-378
36		Andrew W. Moore, Leemon C. Baird III, Leslie Pack Kaelbling: Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs. IJCAI 1999: 1316-1323
35		Rémi Munos, Andrew W. Moore: Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems. IJCAI 1999: 1348-1355
34		Dan Pelleg, Andrew W. Moore: Accelerating Exact k-means Algorithms with Geometric Reasoning. KDD 1999: 277-281
33		Scott Davies, Andrew W. Moore: Bayesian Networks for Lossless Dataset Compression. KDD 1999: 387-391
	1998
32		Justin A. Boyan, Andrew W. Moore: Learning Evaluation Functions for Global Optimization and Boolean Satisfiability. AAAI/IAAI 1998: 3-10
31		Scott Davies, Andrew Y. Ng, Andrew W. Moore: Applying Online Search Techniques to Continuous-State Reinforcement Learning. AAAI/IAAI 1998: 753-760
30		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
29		Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore: Value Function Based Production Scheduling. ICML 1998: 522-530
28		Brigham S. Anderson, Andrew W. Moore: ADtrees for Fast Counting and for Fast Learning of Association Rules. KDD 1998: 134-138
27		Rémi Munos, Andrew W. Moore: Barycentric Interpolators for Continuous Space and Time Reinforcement Learning. NIPS 1998: 1024-1030
26		Andrew W. Moore: Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees. NIPS 1998: 543-549
25		Leemon C. Baird III, Andrew W. Moore: Gradient Descent for General Reinforcement Learning. NIPS 1998: 968-974
24		Andrew W. Moore, Mary S. Lee: Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets CoRR cs.AI/9803102: (1998)
23		Andrew W. Moore, Mary S. Lee: Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets. J. Artif. Intell. Res. (JAIR) 8: 67-91 (1998)
	1997
22		Andrew W. Moore, Jeff G. Schneider, Kan Deng: Efficient Locally Weighted Polynomial Regression Predictions. ICML 1997: 236-244
21		Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal: Locally Weighted Learning. Artif. Intell. Rev. 11(1-5): 11-73 (1997)
20		Oded Maron, Andrew W. Moore: The Racing Algorithm: Model Selection for Lazy Learners. Artif. Intell. Rev. 11(1-5): 193-225 (1997)
19		Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal: Locally Weighted Learning for Control. Artif. Intell. Rev. 11(1-5): 75-113 (1997)
	1996
18		Andrew W. Moore: Reinforcement Learning in Factories: The Auton Project (Abstract). ICML 1996: 556
17		Justin A. Boyan, Andrew W. Moore: Learning Evaluation Functions for Large Acyclic Domains. ICML 1996: 63-70
16		Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore: Reinforcement Learning: A Survey CoRR cs.AI/9605103: (1996)
15		Andrew W. Moore, A. J. McGregor, Jim W. Breen: A Comparison of System Monitoring Methods, Passive Network Monitoring and Kernel Instrumentation. Operating Systems Review 30(1): 16-38 (1996)
	1995
14		Kan Deng, Andrew W. Moore: Multiresolution Instance-Based Learning. IJCAI 1995: 1233-1242
13		Andrew W. Moore, Jeff G. Schneider: Memory-based Stochastic Optimization. NIPS 1995: 1066-1072
12		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)
	1994
11		Andrew W. Moore, Mary S. Lee: Efficient Algorithms for Minimizing Cross Validation Error. ICML 1994: 190-198
10		Justin A. Boyan, Andrew W. Moore: Generalization in Reinforcement Learning: Safely Approximating the Value Function. NIPS 1994: 369-376
	1993
9		Thomas G. Dietterich, Dietrich Wettschereck, Christopher G. Atkeson, Andrew W. Moore: Memory-Based Methods for Regression and Classification. NIPS 1993: 1165-1166
8		Oded Maron, Andrew W. Moore: Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation. NIPS 1993: 59-66
7		Andrew W. Moore: The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces. NIPS 1993: 711-718
6		Andrew W. Moore, Christopher G. Atkeson: Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time. Machine Learning 13: 103-130 (1993)
	1992
5		Andrew W. Moore, Christopher G. Atkeson: Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping. NIPS 1992: 263-270
	1991
4		Andrew W. Moore: Variable Resolution Dynamic Programming. ML 1991: 333-337
3		Andrew W. Moore: Fast, Robust Adaptive Control by Learning only Forward Models. NIPS 1991: 571-578
	1990
2		Andrew W. Moore: Acquisition of Dynamic Control Knowledge for a Robotic Manipulator. ML 1990: 244-252
1		Andrew W. Moore, John Allman, Geoffrey Fox, Rodney M. Goodman: A VLSI Neural Network for Color Constancy. NIPS 1990: 370-376

Coauthor Index

1	Josep Roure Alcobé (Josep Roure)	[94]
2	John Allman	[1]
3	Mark Allman	[101]
4	Brigham Anderson	[74] [83]
5	Brigham S. Anderson	[28] [46]
6	Grenville J. Armitage	[101]
7	Christopher G. Atkeson	[5] [6] [9] [12] [19] [21]
8	Tom Auld	[98]
9	Awais Ahmed Awan	[95]
10	Leemon C. Baird III	[25] [36]
11	Steve Bellovin	[101]
12	Raffaele Bolla	[106] [108]
13	Justin A. Boyan	[10] [17] [29] [30] [32] [38] [42]
14	Jim W. Breen	[15]
15	David L. Buckeridge	[78]
16	Howard Burkom	[78]
17	Murray Campbell	[78]
18	Marco Canini	[106] [108]
19	Amitabh Chaudhary	[57]
20	David Cohn	[46] [65]
21	Andrew Connolly	[74] [82] [88]
22	Gregory F. Cooper	[59] [63] [77] [86]
23	Kenny Daniel	[87]
24	Kaustav Das	[73]
25	Scott Davies	[31] [33] [40] [55]
26	Frank Dellaert	[48]
27	Kan Deng	[14] [22]
28	Thomas G. Dietterich	[9]
29	Artur Dubrawski	[97]
30	Khalid El-Arini	[93]
31	Kimberly Elenberg	[97]
32	Damien Fay	[103] [104]
33	Geoffrey Fox (Geoffrey Charles Fox)	[1]
34	Rodney M. Goodman	[1]
35	Alexander G. Gray	[41] [60] [61] [70] [85] [92]
36	Stephen F. Gull	[98]
37	Hamed Haddadi	[100] [102] [103] [104]
38	William R. Hogan	[78]
39	Gianluca Iannaccone	[100]
40	Almerima Jamakovic	[103] [104]
41	Robert Jedicke	[82] [88]
42	Shudong Jin	[101]
43	Leslie Pack Kaelbling	[16] [36]
44	Takeo Kanade	[48]
45	Paul Komarek	[45] [90]
46	Jeremy Kubica	[58] [65] [66] [67] [82] [88]
47	Dongryeol Lee	[85]
48	Mary S. Lee	[11] [23] [24] [30] [42]
49	Wei Li	[96] [99] [106] [108]
50	Michael L. Littman	[16]
51	Ting Liu	[61] [70] [72] [92] [93]
52	Yanxi Liu	[48]
53	Olaf Maennel	[103]
54	Oded Maron	[8] [20]
55	Joseph Masiero	[82]
56	A. J. McGregor	[15]
57	Tom M. Mitchell	[69]
58	Richard Mortier	[100] [102] [103] [104]
59	Rémi Munos	[27] [35] [44] [52]
60	Daniel B. Neill	[62] [69] [75] [86] [87]
61	Andrew Y. Ng	[31]
62	Robert Nichol	[74]
63	Konstantina Papagiannaki (Dina Papagiannaki)	[80]
64	Dan Pelleg	[34] [43] [51] [56] [71] [91]
65	Francisco Pereira	[69]
66	Amit Prakash	[105]
67	Martin A. Riedmiller (Martin Riedmiller)	[37] [47]
68	Miguel Rio	[100] [102] [103] [104]
69	William E. Rothfus	[48]
70	Maheshkumar Sabhnani	[87] [97]
71	Peter Sand	[50]
72	Purnamrita Sarkar	[76] [84] [105] [107]
73	Stefan Schaal	[19] [21]
74	Jeff G. Schneider	[13] [22] [29] [30] [37] [42] [47] [48] [54] [58] [65] [66] [73]
75	Sajid M. Siddiqi	[89]
76	Tim Strayer	[101]
77	Malcolm J. A. Strens	[49] [53]
78	Alexander S. Szalay	[57]
79	Steve Uhlig	[102] [103] [104]
80	Michael M. Wagner	[59] [63] [77]
81	Dietrich Wettschereck	[9]
82	Weng-Keen Wong	[37] [59] [63] [64] [77]
83	Ke Yang	[70] [72]
84	Yiming Yang	[58]
85	Denis Zuev	[79] [81]

Colors in the list of coauthors