Learning and Development Center

Gary King. Matthew Schmill. Andrew Hannon. Paul R. Cohen. ATAT: The Asymmetric Threat Assessment Tool. BRIMS. 2005.

Matthew Schmill. Paul R. Cohen. A Motivational System That Drives the Development of Activity. University of Massachusetts Computer Science Department Technical Report 01-12.. 2001. (PDF)

Tim Oates. Matthew Schmill. Paul R. Cohen. A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgements. Proceedings of the Seventeenth National Conference on Artificial Intelligence. 2000. (PDF)

Matthew Schmill. Tim Oates. Paul R. Cohen. Learning Planning Operators in Real-World, Partially Observable Environments. Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling. 2000. (PDF)

Tim Oates. Matthew Schmill. Paul R. Cohen. Identifying Qualitatively Different Outcomes of Actions: Gaining Autonomy Through Learning. Proceedings of the Fourth International Conference on Autonomous Agents. 2000. (PDF)

Tim Oates. Matthew Schmill. Paul R. Cohen. Efficient Mining of Statistical Dependencies. Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. 1999. (PDF)

Matthew Schmill. Tim Oates. Paul R. Cohen. Learned Models for Continuous Planning. Uncertainty '99: The Seventh Internatinal Workshop on Artificial Intelligence and Statistics. 1999. (PDF)

Matthew Schmill. Michael T Rosenstein. Paul R. Cohen. Learning What is Relevant to the Effects of Actions for a Mobile Robot. Proceedings of the Second International Conference on Autonomous Agents. 1998. (PDF)

Matthew Schmill. A Distributed Approach to Finding Complex Dependencies in Data. Technical Report 98-13, Dept. of Computer Science, University of Massachusetts/Amherst.. 1998.

David Jensen. Matthew Schmill. Adjusting for Multiple Comparisons in Decision Tree Pruning. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. 1997. (PDF)

Tim Oates. Matthew Schmill. Paul R. Cohen. Parallel and Distributed Search for Structure in Multivariate Time Series. Proceedings of the Ninth European Conference on Machine Learning. 1997. (PDF)

Tim Oates. Matthew Schmill. David Jensen. Paul R. Cohen. A Family of Algorithms for Finding Temporal Structure in Data. Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. 1997. (PDF)

Michael T Rosenstein. Paul R. Cohen. Matthew Schmill. Mark Atkin. Action Representation, Prediction and Concepts.. AAAI Workshop on Robots, Softbots, Immobots: Theories of Action, Planning and Control. 1997. (PDF)

David Jensen. Matthew Schmill. Adjusting for Multiple Comparisons in Decision Tree Pruning. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. 1997. (PDF)

Tim Oates. Matthew Schmill. Paul R. Cohen. Parallel and Distributed Search for Structure in Multivariate Time Series. Proceedings of the Ninth European Conference on Machine Learning. 1997. (PDF)

Tim Oates. Matthew Schmill. Paul R. Cohen. Parallel and Distributed Search for Structure in Multivariate Times Series. Computer Science Department Technical Report 96-23, University of Massachusetts/Amherst. 1996. (PDF)

Matthew Schmill. Tim Oates. Paul R. Cohen. Tools for Detecting Dependencies in AI Systems. Proceedings of the Seventh International IEEE Conference on Tools with Artificial Intelligence. 1995. (PDF)

Matthew Schmill. Paul R. Cohen. Learning Predictive Generalizations for Multiple Streams: An Incremental Algorithm. Technical Report 95-36, Dept. of Computer Science, University of Massachusetts/Amherst.. 1995. (PDF)