Matthew D. Schmill

According to our database, Matthew D. Schmill authored at least 22 papers between 1995 and 2016.

Collaborative distances:

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

2016

Finding Representative Points in Multivariate Data Using PCA.

Ashwinkumar Ganesan, Tim Oates, Matt Schmill

CoRR, 2016

2013

Contextualizing the global relevance of local land change observations.

Nicholas R. Magliocca, Erle C. Ellis, Tim Oates, Matthew D. Schmill

CoRR, 2013

2011

Managing Uncertainty in Text-to-Sketch Tracking Problems.

Matthew D. Schmill, Tim Oates

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

The Metacognitive Loop and Reasoning about Anomalies.

Matthew D. Schmill, Michael L. Anderson, Scott Fults, Darsana P. Josyula, Tim Oates, Don Perlis, Hamid Haidarian Shahri, Shomir Wilson, Dean Wright

Proceedings of the Metareasoning - Thinking about Thinking., 2011

2010

The Metacognitive Loop: An Architecture for Building Robust Intelligent Systems.

Hamid Haidarian Shahri, Wikum Dinalankara, Scott Fults, Shomir Wilson, Donald Perlis, Matt Schmill, Tim Oates, Darsana P. Josyula, Michael L. Anderson

Proceedings of the Commonsense Knowledge, 2010

Metacognition for Detecting and Resolving Conflicts in Operational Policies.

Darsana P. Josyula, Bette J. Donahue, Matthew McCaslin, Michelle Snowden, Michael L. Anderson, Tim Oates, Matthew D. Schmill, Donald Perlis

Proceedings of the Metacognition for Robust Social Systems, 2010

2007

Toward Domain-Neutral Human-Level Metacognition.

Michael L. Anderson, Matthew D. Schmill, Tim Oates, Donald Perlis, Darsana P. Josyula, Dean Wright, Shomir Wilson

Proceedings of the Logical Formalizations of Commonsense Reasoning, 2007

2002

A motivational system that drives the development of activity.

Matthew D. Schmill, Paul R. Cohen

Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

2000

Language Models for Financial News Recommendation.

Victor Lavrenko, Matthew D. Schmill, Dawn J. Lawrie, Paul Ogilvie, David D. Jensen, James Allan

Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, 2000

Learning Planning Operators in Real-World, Partially Observable Environments.

Matthew D. Schmill, Tim Oates, Paul R. Cohen

Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

Identifying qualitatively different outcomes of actions: gaining autonomy through learning.

Tim Oates, Matthew D. Schmill, Paul R. Cohen

Proceedings of the Fourth International Conference on Autonomous Agents, 2000

A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments.

Tim Oates, Matthew D. Schmill, Paul R. Cohen

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

Pioneer-1 Mobile Robot Data.

Matthew D. Schmill, Paul R. Cohen

Dataset, January, 1999

Efficient Mining of Statistical Dependencies.

Tim Oates, Matthew D. Schmill, Paul R. Cohen

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

Learned models for continuous planning.

Matthew D. Schmill, Tim Oates, Paul R. Cohen

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

Efficient mining of statistical dependencies.

Tim Oates, Matthew D. Schmill, Paul R. Cohen, Casey Durfee

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

1998

Learning What Is Relevant to the Effects of Actions for a Mobile Robot.

Matthew D. Schmill, Michael T. Rosenstein, Paul R. Cohen, Paul E. Utgoff

Proceedings of the Second International Conference on Autonomous Agents, 1998

1997

Adjusting for Multiple Comparisons in Decision Tree Pruning.

David D. Jensen, Matthew D. Schmill

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Parallel and Distributed Search for Structure in Multivariate Time Series.

Tim Oates, Matthew D. Schmill, Paul R. Cohen

Proceedings of the Machine Learning: ECML-97, 1997

A Family of Algorithms for Finding Temporal Structure in Data.

Tim Oates, Matthew D. Schmill, David D. Jensen, Paul R. Cohen

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

1995

Tools for detecting dependencies in AI systems.

Matthew D. Schmill, Tim Oates, Paul R. Cohen

Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

Detecting Complex Dependencies in Categorical Data.

Tim Oates, Matthew D. Schmill, Dawn E. Gregory, Paul R. Cohen

Proceedings of the Learning from Data, 1995