Andrew W. Moore

According to our database, Andrew W. Moore authored at least 103 papers between 1992 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2016

Four Thought Leaders on Where the Industry Is Headed.

Andrew W. Moore, Tim O'Reilly, Paul D. Nielsen, Kevin Fall

IEEE Softw., 2016

2013

The Anchors Hierachy: Using the triangle inequality to survive high dimensional data

Andrew W. Moore

CoRR, 2013

2011

Theoretical Justification of Popular Link Prediction Heuristics.

Purnamrita Sarkar, Deepayan Chakrabarti, Andrew W. Moore

Proceedings of the IJCAI 2011, 2011

Random Walks in Social Networks and their Applications: A Survey.

Purnamrita Sarkar, Andrew W. Moore

Proceedings of the Social Network Data Analytics, 2011

2010

Computationally efficient scoring of activity using demographics and connectivity of entities.

Artur Dubrawski, John Östlund, Lujie Chen, Andrew W. Moore

Inf. Technol. Manag., 2010

Fast nearest-neighbor search in disk-resident graphs.

Purnamrita Sarkar, Andrew W. Moore

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Fast dynamic reranking in large graphs.

Purnamrita Sarkar, Andrew W. Moore

Proceedings of the 18th International Conference on World Wide Web, 2009

2008

Fast incremental proximity search in large graphs.

Purnamrita Sarkar, Andrew W. Moore, Amit Prakash

Proceedings of the Machine Learning, 2008

2007

Fast State Discovery for HMM Model Selection and Learning.

Sajid M. Siddiqi, Geoffrey J. Gordon, Andrew W. Moore

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A Tractable Approach to Finding Closest Truncated-commute-time Neighbors in Large Graphs.

Purnamrita Sarkar, Andrew W. Moore

Proceedings of the UAI 2007, 2007

2006

Dependency trees in sub-linear time and bounded memory.

Dan Pelleg, Andrew W. Moore

VLDB J., 2006

New Algorithms for Efficient High-Dimensional Nonparametric Classification.

Ting Liu, Andrew W. Moore, Alexander G. Gray

J. Mach. Learn. Res., 2006

Autonomous Visualization.

Khalid El-Arini, Andrew W. Moore, Ting Liu

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

New cached-sufficient statistics algorithms for quickly answering statistical questions.

Andrew W. Moore

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Sequential update of ADtrees.

Josep Roure, Andrew W. Moore

Proceedings of the Machine Learning, 2006

Monitoring Food Safety by Detecting Patterns in Consumer Complaints.

Artur Dubrawski, Kimberly Elenberg, Andrew W. Moore, Maheshkumar Sabhnani

Proceedings of the Proceedings, 2006

2005

Dynamic social network analysis using latent space models.

Purnamrita Sarkar, Andrew W. Moore

SIGKDD Explor., 2005

What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks.

Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner

J. Mach. Learn. Res., 2005

Algorithms for rapid outbreak detection: a research synthesis.

David L. Buckeridge, Howard S. Burkom, Murray Campbell, William R. Hogan, Andrew W. Moore

J. Biomed. Informatics, 2005

A Bayesian Spatial Scan Statistic.

Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Dual-Tree Fast Gauss Transforms.

Dongryeol Lee, Alexander G. Gray, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery.

Jeremy Kubica, Joseph Masiero, Andrew W. Moore, Robert Jedicke, Andrew J. Connolly

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Fast Information Value for Graphical Models.

Brigham S. Anderson, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Detection of emerging space-time clusters.

Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabhnani, Kenny Daniel

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

A multiple tree algorithm for the efficient association of asteroid observations.

Jeremy Kubica, Andrew W. Moore, Andrew J. Connolly, Robert Jedicke

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Bayes net graphs to understand co-authorship networks?

Anna Goldenberg, Andrew W. Moore

Proceedings of the 3rd international workshop on Link discovery, 2005

Fast inference and learning in large-state-space HMMs.

Sajid M. Siddiqi, Andrew W. Moore

Proceedings of the Machine Learning, 2005

Making Logistic Regression a Core Data Mining Tool with TR-IRLS.

Paul Komarek, Andrew W. Moore

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

Active Learning for Anomaly and Rare-Category Detection.

Dan Pelleg, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Detecting Significant Multidimensional Spatial Clusters.

Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

An Investigation of Practical Approximate Nearest Neighbor Algorithms.

Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Yang

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Rapid detection of significant spatial clusters.

Daniel B. Neill, Andrew W. Moore

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

The IOC algorithm: efficient many-class non-parametric classification for high-dimensional data.

Ting Liu, Ke Yang, Andrew W. Moore

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Belief state approaches to signaling alarms in surveillance systems.

Kaustav Das, Andrew W. Moore, Jeff G. Schneider

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Fast nonlinear regression via eigenimages applied to galactic morphology.

Brigham S. Anderson, Andrew W. Moore, Andrew J. Connolly, Robert Nichol

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Tractable learning of large Bayes net structures from sparse data.

Anna Goldenberg, Andrew W. Moore

Proceedings of the Machine Learning, 2004

2003

Application of Information Technology: Automated Syndromic Surveillance for the 2002 Winter Olympics.

Per H. Gesteland, Reed M. Gardner, Fu-Chiang Tsui, Jeremy U. Espino, Robert T. Rolfs, Brent C. James, Wendy Webber Chapman, Andrew W. Moore, Michael M. Wagner

J. Am. Medical Informatics Assoc., 2003

Nonparametric Density Estimation: Toward Computational Tractability.

Alexander G. Gray, Andrew W. Moore

Proceedings of the Third SIAM International Conference on Data Mining, 2003

A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters.

Daniel B. Neill, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

New Algorithms for Efficient High Dimensional Non-parametric Classification.

Ting Liu, Andrew W. Moore, Alexander G. Gray

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Bayesian Network Anomaly Pattern Detection for Disease Outbreaks.

Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner

Proceedings of the Machine Learning, 2003

Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning.

Andrew W. Moore, Weng-Keen Wong

Proceedings of the Machine Learning, 2003

Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries.

Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G. Schneider

Proceedings of the Machine Learning, 2003

Tractable Group Detection on Large Link Data Sets.

Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Probabilistic Noise Identification and Data Cleaning.

Jeremy Kubica, Andrew W. Moore

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Fast Robust Logistic Regression for Large Sparse Datasets with Binary Outputs.

Paul Komarek, Andrew W. Moore

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

Rapid Evaluation of Multiple Density Models.

Alexander G. Gray, Andrew W. Moore

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

Variable Resolution Discretization in Optimal Control.

Rémi Munos, Andrew W. Moore

Mach. Learn., 2002

Policy Search using Paired Comparisons.

Malcolm J. A. Strens, Andrew W. Moore

J. Mach. Learn. Res., 2002

Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes.

Andrew W. Moore, Jeff G. Schneider

Proceedings of the UAI '02, 2002

Interpolating Conditional Density Trees.

Scott Davies, Andrew W. Moore

Proceedings of the UAI '02, 2002

Using Tarjan's Red Rule for Fast Dependency Tree Construction.

Dan Pelleg, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Data, network, and application: technical description of the Utah RODS Winter Olympic Biosurveillance System.

Fu-Chiang Tsui, Jeremy U. Espino, Michael M. Wagner, Per H. Gesteland, Oleg Ivanov, Robert T. Olszewski, Zhen Liu, Xiaoming Zeng, Wendy W. Chapman, Weng-Keen Wong, Andrew W. Moore

Proceedings of the AMIA 2002, 2002

Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks.

Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

Stochastic Link and Group Detection.

Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider, Yiming Yang

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures.

Yanxi Liu, Frank Dellaert, William E. Rothfus, Andrew W. Moore, Jeff G. Schneider, Takeo Kanade

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

Direct Policy Search using Paired Statistical Tests.

Malcolm J. A. Strens, Andrew W. Moore

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Repairing Faulty Mixture Models using Density Estimation.

Peter Sand, Andrew W. Moore

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Mixtures of Rectangles: Interpretable Soft Clustering.

Dan Pelleg, Andrew W. Moore

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000

Learning Evaluation Functions to Improve Optimization by Local Search.

Justin A. Boyan, Andrew W. Moore

J. Mach. Learn. Res., 2000

The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data.

Andrew W. Moore

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables.

Scott Davies, Andrew W. Moore

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

'N-Body' Problems in Statistical Learning.

Alexander G. Gray, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

X-means: Extending K-means with Efficient Estimation of the Number of Clusters.

Dan Pelleg, Andrew W. Moore

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Rates of Convergence for Variable Resolution Schemes in Optimal Control.

Rémi Munos, Andrew W. Moore

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets.

Paul Komarek, Andrew W. Moore

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Learning Filaments.

Geoffrey J. Gordon, Andrew W. Moore

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

A Nonparametric Approach to Noisy and Costly Optimization.

Brigham S. Anderson, Andrew W. Moore, David Cohn

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids.

Martin A. Riedmiller, Andrew W. Moore, Jeff G. Schneider

Proceedings of the Balancing Reactivity and Social Deliberation in Multi-Agent Systems, 2000

1999

Accelerating Exact <i>k</i>-means Algorithms with Geometric Reasoning.

Dan Pelleg, Andrew W. Moore

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Bayesian Networks for Lossless Dataset Compression.

Scott Davies, Andrew W. Moore

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Gradient descent approaches to neural-net-based solutions of the Hamilton-Jacobi-Bellman equation.

Rémi Munos, Leemon C. Baird III, Andrew W. Moore

Proceedings of the International Joint Conference Neural Networks, 1999

Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems.

Rémi Munos, Andrew W. Moore

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs.

Andrew W. Moore, Leemon C. Baird III, Leslie Pack Kaelbling

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Distributed Value Functions.

Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets.

Andrew W. Moore, Mary S. Lee

J. Artif. Intell. Res., 1998

Barycentric Interpolators for Continuous Space and Time Reinforcement Learning.

Rémi Munos, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Very Fast EM-Based Mixture Model Clustering Using Multiresolution Kd-Trees.

Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Gradient Descent for General Reinforcement Learning.

Leemon C. Baird III, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

ADtrees for Fast Counting and for Fast Learning of Association Rules.

Brigham S. Anderson, Andrew W. Moore

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Value Function Based Production Scheduling.

Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions.

Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Applying Online Search Techniques to Continuous-State Reinforcement Learning.

Scott Davies, Andrew Y. Ng, Andrew W. Moore

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Learning Evaluation Functions for Global Optimization and Boolean Satisfiability.

Justin A. Boyan, Andrew W. Moore

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

The Racing Algorithm: Model Selection for Lazy Learners.

Oded Maron, Andrew W. Moore

Artif. Intell. Rev., 1997

Locally Weighted Learning for Control.

Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal

Artif. Intell. Rev., 1997

Locally Weighted Learning.

Christopher G. Atkeson, Andrew W. Moore, Stefan Schaal

Artif. Intell. Rev., 1997

Efficient Locally Weighted Polynomial Regression Predictions.

Andrew W. Moore, Jeff G. Schneider, Kan Deng

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Learning to recognize time series: combining ARMA models with memory-based learning.

Kan Deng, Andrew W. Moore, Michael C. Nechyba

Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997

Using Prediction to Improve Combinatorial Optimization Search.

Justin A. Boyan, Andrew W. Moore

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996

Reinforcement Learning: A Survey.

Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore

J. Artif. Intell. Res., 1996

Reinforcement Learning in Factories: The Auton Project (Abstract).

Andrew W. Moore

Proceedings of the Machine Learning, 1996

Learning Evaluation Functions for Large Acyclic Domains.

Justin A. Boyan, Andrew W. Moore

Proceedings of the Machine Learning, 1996

1995

The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces.

Andrew W. Moore, Christopher G. Atkeson

Mach. Learn., 1995

Memory-based Stochastic Optimization.

Andrew W. Moore, Jeff G. Schneider

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Multiresolution Instance-Based Learning.

Kan Deng, Andrew W. Moore

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

Generalization in Reinforcement Learning: Safely Approximating the Value Function.

Justin A. Boyan, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Efficient Algorithms for Minimizing Cross Validation Error.

Andrew W. Moore, Mary S. Lee

Proceedings of the Machine Learning, 1994

1993

Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time.

Andrew W. Moore, Christopher G. Atkeson

Mach. Learn., 1993

The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces.

Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation.

Oded Maron, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Memory-Based Methods for Regression and Classification.

Thomas G. Dietterich, Dietrich Wettschereck, Christopher G. Atkeson, Andrew W. Moore

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992

Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping.

Andrew W. Moore, Christopher G. Atkeson

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992