Tim Oates' Publications

Recent Submissions

Heeringa, Brent; and Oates, Tim. Incrementally Learning the Parameters of Stochastic Context-Free Grammars Using Summary Statistics. Under review.

Journals

Oates, Tim; Prasad, M. V. Nagendra; and Lesser, Victor R. Cooperative Information Gathering: a Distributed Problem Solving Approach. In IEE/BCS Journal of Software Engineering special issue on Developing Agent Based Systems, 144(1):72-88, 1997.

Conferences

Oates, Tim; Schmill, Matthew D.; and Cohen, Paul R. A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pages 846-851, 2000.

Schmill, Matthew D.; Oates, Tim; and Cohen, Paul R. Learning Planning Operators in Real-World, Partially Observable Environments. In Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling, pages 246-253, 2000.

Oates, Tim; Eyler-Walker, Zachary.; and Cohen, Paul R. Toward Natural Language Interfaces for Robotic Agents: Grounding Linguistic Meaning in Sensors. In Proceedings of the Fourth International Conference on Autonomous Agents, pages 227-228, 2000. Extended abstract.

Oates, Tim; Schmill, Matthew D.; and Cohen, Paul R. Identifying Qualitatively Different Outcomes of Actions: Gaining Autonomy Through Learning. In Proceedings of the Fourth International Conference on Autonomous Agents, pages 110-111, 2000. Extended abstract.

Oates, Tim. Identifying Distinctive Subsequences in Multivariate Time Series by Clustering. In in Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining, pages 322-326, 1999. Long version.

Provost, Foster; Jensen, David; and Oates, Tim. Efficient Progressive Sampling. In Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining, pages 23-32, 1999.

Oates, Tim and Jensen, David. Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. In Proceedings of the Sixteenth National Conference on Artificial Intelligence, pages 372 - 378, 1999.

Oates, Tim; Schmill, Matthew D.; and Cohen, Paul R. Efficient Mining of Statistical Dependencies. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pages 794-799, 1999.

Oates, Tim and Jensen, David. Large Datasets Lead to Overly Complex Models: an Explanation and a Solution. In Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pages 294 - 298, 1998.

Firoiu, Laura; Oates, Tim; and Cohen, Paul R. Learning Regular Languages from Positive Evidence. In Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society, pages 350 - 355, 1998.

Oates, Tim and Jensen, David. The Effects of Training Set Size on Decision Tree Complexity. In Proceedings of The Fourteenth International Conference on Machine Learning, pages 254 - 262, 1997.

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

Cohen, Paul R; Atkin, Marc S.; Oates, Tim; and Beal, Carole R. Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment. In Proceedings of the First International Conference on Autonomous Agents, pages 170 - 177, 1997.

Cohen, Paul R; Oates, Tim; Atkin, Marc S.; and Beal, Carole R. Building a Baby. In Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society, pages 518 - 522, 1996.

Oates, Tim and Cohen, Paul R. Searching for Structure in Multiple Streams of Data. In Proceedings of the Thirteenth International Conference on Machine Learning, pages 346 - 354, 1996.

Oates, Tim and Cohen, Paul R. Searching for Planning Operators with Context-Dependent and Probabilistic Effects. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, pages 863 - 868, 1996.

Schmill, Matthew D.; Oates, Tim; and Cohen, Paul R. Tools for Detecting Dependencies in AI Systems. In Proceedings of the Seventh International IEEE Conference on Tools with Artificial Intelligence, pages 148 - 155, February 1995.

Oates, Tim and Cohen, Paul R. Toward a Plan Steering Agent: Experiments with Schedule Maintenance. In Proceedings of the Second International Conference on AI Planning Systems, pages 134 - 139. AAAI Press, 1994.

Book Chapters

Provost, Foster; Jensen, David; and Oates, Tim. Progressive Sampling. In H. Liu and H. Motoda, editors, Instance Selection and Construction, A Data Mining Perspective. Kluwer, 2001. Also appeared in proceedings of KDD-99.

Oates, Tim; Firoiu, Laura; and Cohen, Paul R. Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series. In Ron Sun and Lee Giles, editors, Sequence Learning: Paradigms, Algorithms and Applications. Springer-Verlag, 2000.

Cohen, Paul R.; Oates, Tim; and St. Amant, Robert. Plan Steering and Mixed-Initiative Planning. In Austin Tate, editor, ARPI Supplement to Proceedings of the Third International Conference on Artificial Intelligence Planning Systems, pages 105 - 112. AAAI Press, 1996.

Oates, Tim; Schmill, Matthew D.; Gregory, Dawn E.; and Cohen, Paul R. Detecting Complex Dependencies in Categorical Data. In D. Fisher and H. Lenz, editors, Learning from Data: Artificial Intelligence and Statistics, pages 185 - 195. Springer Verlag, 1995. Long version of workshop paper with same title.

Workshops, Symposia, etc.

Oates, Tim; Schmill, Matthew D.; and Cohen, Paul R. Identifying Qualitatively Different Outcomes of Actions: Experiments with a Mobile Robot. In Working Notes of the IJCAI-99 Workshop on Robot Action Planning, pages 30-36, 1999. Long version of paper that appeared in Agents-00.

Oates, Tim; Firoiu, Laura; and Cohen, Paul R. Clustering Time Series with Hidden Markov Models and Dynamic Time Warping. In Proceedings of the IJCAI-99 Workshop on Neural, Symbolic and Reinforcement Learning Methods for Sequence Learning, pages 17-21, 1999. Abbreviated version of book chapter by Oates, Firoiu and Cohen.

Schmill, Matthew D.; Oates, Tim; and Cohen, Paul R. Learned Models for Continuous Planning. In Preliminary Papers of the Seventh International Workshop on Artificial Intelligence and Statistics, pages 272 - 282, 1998.

Oates, Tim; Cohen, Paul R.; and Durfee, Casey. Efficient Mining of Statistical Dependencies. In Preliminary Papers of the Seventh International Workshop on Artificial Intelligence and Statistics, pages 133 - 141, 1998.

Firoiu, Laura; Oates, Tim; and Cohen, Paul R. Learning a Deterministic Finite Automaton with a Recurrent Neural Network. In Proceedings of the Fourth International Colloquim on Grammatical Inference, pages 90 - 101, 1998.

Oates, Tim; Jensen, David; and Cohen, Paul R. Correlating and Predicting Asynchronous Events. In Working Notes of the AAAI Workshop on Predicting the Future: AI Approaches to Time Series Analysis, pages 73 - 79, 1998.

Cohen, Paul R. and Oates, Tim. A Dynamical Basis for the Semantic Content of Verbs. In Working Notes of the AAAI Workshop on The Grounding of Word Meaning: Data and Models, pages 5 - 8, 1998.

Jensen, David; Oates, Tim and Cohen, Paul R. Building Simple Models: A Case Study with Decision Trees. In Proceedings of the Second International Symposium on Intelligent Data Analysis, pages 211 - 222, 1997.

Oates, Tim; Schmill, Matthew D.; Jensen, David; and Cohen, Paul R. A Family of Algorithms for Finding Temporal Structure in Data. In The Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pages 371 - 378, 1997.

Oates, Tim and Jensen, David. The Effects of Training Set Size on Decision Tree Complexity. In The Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pages 379 - 390, 1997. Also appeared in proceedings of ICML-97.

Cohen, Paul R.; Oates, Tim; and Atkin, Marc S. Preliminary Evidence that Conceptual Structure can be Learned by Interacting with an Environment. In Working Notes of the AAAI Fall Symposium on Embodied Cognition and Action, 1996.

Oates, Tim and Cohen, Paul R. Learning Planning Operators with Conditional and Probabilistic Effects. In Working Notes of the AAAI Spring Symposium on Planning with Incomplete Information for Robot Problems, pages 86 - 94, 1996. Also appeared in proceedings of AAAI-96.

Cohen, Paul R. and Oates, Tim. Finding Structure in Streams. In Advances in Intelligent Data Analysis. Proceedings of the IDA-95 Symposium of the International Institute for Systems Research, Informatics and Cybernetics, pages 27 - 31, 1995. Technical Report 95-63, Dept. of Computer Science, University of Massachusetts/Amherst.

Cohen, Paul R.; Atkin, Marc S.; Oates, Tim; and Gregory, Dawn E. A Representation and Learning Mechanisms for Mental States. In Working Notes of the Symposium on Representing Mental States and Mechanisms, AAAI-95 Spring Symposium Series. Technical Report 95-53, Dept. of Computer Science, University of Massachusetts/Amherst.

Oates, Tim; Prasad, M. V. Nagendra; Lesser, Victor R.; and Decker, Keith. A Distributed Problem Solving Approach to Cooperative Information Gathering. In Proceedings of the AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments. 1995.

Oates, Tim; Prasad, M. V. Nagendra; and Lesser, Victor R. Networked Information Retrieval as Distributed Problem Solving. In Proceedings of the CIKM-94 Workshop on Intelligent Information Agents, 1994.

Oates, Tim; Gregory, Dawn E.; and Cohen, Paul R. Detecting Complex Dependencies in Categorical Data. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, 1995, pp. 417-423.

Oates, Tim and Cohen, Paul R. Evaluation of a Mixed-Initiative Approach to Schedule Maintenance. In Proceedings of the Workshop on AI Approaches to Modelling and Scheduling Manufacturing Processes, 1994 IEEE Conference on Tools with Artificial Intelligence.

Oates, Tim and Cohen, Paul R. Mixed-Initiative Schedule Maintenance: A First Step Toward Plan Steering. In Proceedings, ARPA/Rome Lab Planning Initiative Workshop, Tucson, AZ, 1994. Also Computer Science Department Technical Report 94-31, University of Massachusetts, 1994.

Unrefereed Workshops and Technical Reports

Oates, Tim; Eyler-Walker, Zachary; and Cohen, Paul R.. Using Syntax to Learn Semantics: An Experiment in Language Acquisition with a Mobile Robot. Computer Science Department Technical Report 99-35, University of Massachusetts, Amherst, 1999. Long version of paper that appeared in Agents-00.

Oates, Tim; Jensen, David; and Cohen, Paul R. Automatically Acquiring Rules for Event Correlation from Event Logs. Computer Science Department Technical Report 97-14, University of Massachusetts, Amherst, 1997.

Jensen, David; Oates, Tim; and Cohen, Paul R. Prototype for ECS Fault Identification: Requirements and Design. Report Prepared for Hughes Information Technology Corporation, February 1996.

Oates, Tim; Jensen, David; and Cohen, Paul R. Technologies for Fault Management. Report Prepared for Hughes Information Technology Corporation, December 1995.

Oates, Tim; Jensen, David; and Cohen, Paul R. Artificial Intelligence Technologies for Fault Management: An Assessment. 1996.

Oates, Tim; Schmill, Matthew D.; and Cohen, Paul R. Parallel and Distributed Search for Structure in Multivariate Time Series. Computer Science Department Technical Report 96-23, University of Massachusetts, Amherst, 1996.

Oates, Tim. Fault Identification in Computer Networks: A Review and a New Approach. Computer Science Department Technical Report 95-113, University of Massachusetts, Amherst, 1995.

Oates, Tim. MSDD as a Tool for Classification.Memo 94-29, Experimental Knowledge Systems Laboratory, Department of Computer Science, University of Massachusetts, Amherst, 1994.

Oates, Tim; Prasad, M. V. Nagendra; and Lesser, Victor. Cooperative Information Gathering: a Distributed Problem Solving Approach. Computer Science Department Technical Report 94-66, University of Massachusetts, Amherst, 1994. Long version of journal article.

Oates, Tim and Cohen, Paul R. Humans Plus Agents Maintain Schedules Better than Either Alone. Computer Science Department Technical Report 94-03, University of Massachusetts, Amherst, 1994.