Andrew W. Moore

According to our database1, Andrew W. Moore authored at least 107 papers between 1992 and 2013.

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Bibliography

2013
The Anchors Hierachy: Using the triangle inequality to survive high dimensional data
CoRR, 2013

Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks With Mixed Continuous And Discrete Variables
CoRR, 2013

Real-valued All-Dimensions search: Low-overhead rapid searching over subsets of attributes
CoRR, 2013

Interpolating Conditional Density Trees
CoRR, 2013

2012
A Tractable Approach to Finding Closest Truncated-commute-time Neighbors in Large Graphs
CoRR, 2012

2011
Dual-Tree Fast Gauss Transforms
CoRR, 2011

Theoretical Justification of Popular Link Prediction Heuristics.
Proceedings of the IJCAI 2011, 2011

Random Walks in Social Networks and their Applications: A Survey.
Proceedings of the Social Network Data Analytics, 2011

2010
Computationally efficient scoring of activity using demographics and connectivity of entities.
Information Technology and Management, 2010

Fast nearest-neighbor search in disk-resident graphs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Theoretical Justification of Popular Link Prediction Heuristics.
Proceedings of the COLT 2010, 2010

2009
Fast dynamic reranking in large graphs.
Proceedings of the 18th International Conference on World Wide Web, 2009

2008
Fast incremental proximity search in large graphs.
Proceedings of the Machine Learning, 2008

2007
Fast State Discovery for HMM Model Selection and Learning.
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.
Proceedings of the UAI 2007, 2007

2006
Dependency trees in sub-linear time and bounded memory.
VLDB J., 2006

New Algorithms for Efficient High-Dimensional Nonparametric Classification.
Journal of Machine Learning Research, 2006

Autonomous Visualization.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Sequential update of ADtrees.
Proceedings of the Machine Learning, 2006

Monitoring Food Safety by Detecting Patterns in Consumer Complaints.
Proceedings of the Proceedings, 2006

2005
Dynamic social network analysis using latent space models.
SIGKDD Explorations, 2005

What's Strange About Recent Events (WSARE): An Algorithm for the Early Detection of Disease Outbreaks.
Journal of Machine Learning Research, 2005

Algorithms for rapid outbreak detection: a research synthesis.
Journal of Biomedical Informatics, 2005

Dynamic Social Network Analysis using Latent Space Models.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A Bayesian Spatial Scan Statistic.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Dual-Tree Fast Gauss Transforms.
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.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Fast Information Value for Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Detection of emerging space-time clusters.
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.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Fast inference and learning in large-state-space HMMs.
Proceedings of the Machine Learning, 2005

Making Logistic Regression a Core Data Mining Tool with TR-IRLS.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Active Learning for Anomaly and Rare-Category Detection.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Detecting Significant Multidimensional Spatial Clusters.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

An Investigation of Practical Approximate Nearest Neighbor Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Rapid detection of significant spatial clusters.
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.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Belief state approaches to signaling alarms in surveillance systems.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Fast nonlinear regression via eigenimages applied to galactic morphology.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Application of Information Technology: Automated Syndromic Surveillance for the 2002 Winter Olympics.
JAMIA, 2003

Nonparametric Density Estimation: Toward Computational Tractability.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Efficient Exact k-NN and Nonparametric Classification in High Dimensions.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Bayesian Network Anomaly Pattern Detection for Disease Outbreaks.
Proceedings of the Machine Learning, 2003

Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning.
Proceedings of the Machine Learning, 2003

Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries.
Proceedings of the Machine Learning, 2003

Tractable Group Detection on Large Link Data Sets.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Probabilistic Noise Identification and Data Cleaning.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Fast Robust Logistic Regression for Large Sparse Datasets with Binary Outputs.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

Rapid Evaluation of Multiple Density Models.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
Variable Resolution Discretization in Optimal Control.
Machine Learning, 2002

Policy Search using Paired Comparisons.
Journal of Machine Learning Research, 2002

Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes.
Proceedings of the UAI '02, 2002

Interpolating Conditional Density Trees.
Proceedings of the UAI '02, 2002

Using Tarjan's Red Rule for Fast Dependency Tree Construction.
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.
Proceedings of the AMIA 2002, 2002

Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks.
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.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

Direct Policy Search using Paired Statistical Tests.
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.
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.
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.
Journal of Machine Learning Research, 2000

The Anchors Hierarchy: Using the Triangle Inequality to Survive High Dimensional Data.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

X-means: Extending K-means with Efficient Estimation of the Number of Clusters.
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.
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.
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.
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.
Proceedings of the Balancing Reactivity and Social Deliberation in Multi-Agent Systems, 2000

1999
Accelerating Exact k-means Algorithms with Geometric Reasoning.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Bayesian Networks for Lossless Dataset Compression.
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.
Proceedings of the International Joint Conference Neural Networks, 1999

Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Distributed Value Functions.
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.
J. Artif. Intell. Res., 1998

Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets
CoRR, 1998

Barycentric Interpolators for Continuous Space and Time Reinforcement Learning.
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.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Gradient Descent for General Reinforcement Learning.
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.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Value Function Based Production Scheduling.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Applying Online Search Techniques to Continuous-State Reinforcement Learning.
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.
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.
Artif. Intell. Rev., 1997

Locally Weighted Learning for Control.
Artif. Intell. Rev., 1997

Locally Weighted Learning.
Artif. Intell. Rev., 1997

Efficient Locally Weighted Polynomial Regression Predictions.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Learning to recognize time series: combining ARMA models with memory-based learning.
Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997

1996
Reinforcement Learning: A Survey.
J. Artif. Intell. Res., 1996

Reinforcement Learning: A Survey
CoRR, 1996

Reinforcement Learning in Factories: The Auton Project (Abstract).
Proceedings of the Machine Learning, 1996

Learning Evaluation Functions for Large Acyclic Domains.
Proceedings of the Machine Learning, 1996

1995
The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces.
Machine Learning, 1995

Memory-based Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Multiresolution Instance-Based Learning.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994
Generalization in Reinforcement Learning: Safely Approximating the Value Function.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Efficient Algorithms for Minimizing Cross Validation Error.
Proceedings of the Machine Learning, 1994

1993
Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time.
Machine Learning, 1993

The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Memory-Based Methods for Regression and Classification.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Memory-Based Reinforcement Learning: Efficient Computation with Prioritized Sweeping.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992


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