Tim Oates

Email: oates@cs.umbc.edu

Personal Webpage: http://

Papers

  • Tim Oates. Paul R. Cohen. Bill Krueger. Carole Beal. Tom Armstrong. Learning by Doing and Knowledge Transfer. Poster at Nineteenth International Conference on Artificial Intelligence (IJCAI). 2005.

  • Tim Oates. An Unsupervised Algorithm for Finding Recurring Patterns in Time Series. The Nineteenth International Conference on Machine Learning (ICML-2002). 2002. (PDF)

  • Paul R. Cohen. Tim Oates. Carole Beal. Robots that Learn Meanings. First Joint Conference of Autonomous Agents and Multiagent Systems. 2002. (PDF)

  • Paul R. Cohen. Tim Oates. Carole Beal. Niall Adams. Contentful Mental States for Robot Baby.. The Eighteenth National Conference on Artificial Intelligence. 2002. (PDF)

  • Tim Oates. Brent Heeringa. Estimating Grammar Parameters using Bounded Memory. Proceedings of the Sixth International Colloquium on Grammatical Inference (ICGI). 2002. (PDF)

  • Paul R. Cohen. Tim Oates. Niall Adams. Carole Beal. Robot Baby 2001. Twelfth International Conference on Algorithmic Learning Theory. 2001. (PDF)

  • Brent Heeringa. Tim Oates. Incrementally Learning Parameters of Stochastic Context-Free Grammars using Summary Statistics. Working Notes of the AAAI Fall Symposium Series. 2001. (PDF)

  • Gary King. Tim Oates. The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction. Proceedings of the Fourteenth Canadian Conference on Artificial Intelligence. 2001. (PDF)

  • Clayton T. Morrison. Tim Oates. Gary King. Grounding the Unobservable in the Observable: The Role and Representation of Hidden State in Concept Formation and Refinement. Working Notes of AAAI Spring Symposium Workshop: Learning Grounded Representations.. 2001. (PDF)

  • Kaelbling. Leslie Pack. Tim Oates. Natalia Hernandez. Sarah Kinney. Learning in Worlds with Objects. Working Notes of AAAI Spring Symposium Workshop: Learning Grounded Representations. 2001. (PDF)

  • Brent Heeringa. Tim Oates. Two Algorithms for Learning the Parameters of Stochastic Context-Free Grammars. Working Notes of the 2001 AAAI Fall Symposium on Using Uncertainty within Computation. 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. Paul R. Cohen. Toward Natural Language Interfaces for Robotic Agents: Grounding Linguistic Meaning in Sensors.. Proceedings of the Fourth International Conference on Autonomous Agents. 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)

  • Gary King. Tim Oates. The Importance of Being Discrete: Learning Actions Through Interaction. University of Massachusetts Computer Science Department Technical Report 00-15. 2000. (PDF)

  • Tim Oates. Identifying Distinctive Subsequences in Multivariate Time Series by Clustering. Proceedings of KDD-99, International Conference on Knowledge Discovery and Data Mining. 1999. (PDF)

  • Foster Provost. David Jensen. Tim Oates. Efficient Progressive Sampling. Proceedings of KDD-99, International Conference on Knowledge Discovery and Data Mining. 1999. (PDF)

  • Tim Oates. Identifying Qualitatively Different Outcomes of Actions: Experiments with a Mobile Robot. IJCAI-99, Workshop on Robot Action Planning. 1999. (PDF)

  • Tim Oates. Laura Firoiu. Paul R. Cohen. Clustering Time Series with Hidden Markov Models and Dynamic Time Warping. IJCAI-99 Workshop on Sequence Learning. 1999. (PDF)

  • Tim Oates. David Jensen. Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. Proceedings of the Sixteenth National Conference on Artificial Intelligence. 1999. (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)

  • Tim Oates. Eyler-Walker Zachary. Paul R. Cohen. Using Syntax to Learn Semantics: An Experiment in Language Acquisition with a Mobile Robot. University of Massachusetts Computer Science Department Technical Report 99-35. 1999. (PDF)

  • Laura Firoiu. Tim Oates. Paul R. Cohen. Learning Regular Languages from Positive Evidence. Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society. 1998. (PDF)

  • Tim Oates. David Jensen. Large Datasets Lead to Overly Complex Models: an Explanation and a Solution. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining. 1998. (PDF)

  • Laura Firoiu. Tim Oates. Paul R. Cohen. Learning a Deterministic Finite Automaton With a Recurrent Neural Network. Proceedings of the Fourth International Colloquium on Grammatical Inference. 1998. (PDF)

  • Paul R. Cohen. Tim Oates. A Dynamical Basis for the Semantic Content of Verbs. Grounding of Word Meaning: Data & Models Workshop, AAAI-98. 1998. (PDF)

  • Tim Oates. David Jensen. Paul R. Cohen. Discovering Rules for Clustering and Predicting Asynchronous Events. Predicting the Future: AI Approaches to Time Series Workshop, AAAI-98. 1998. (PDF)

  • Tim Oates. David Jensen. Paul R. Cohen. Discovering Rules for Clustering and Predicting Asynchronous Events. Predicting the Future: AI Approaches to Time Series Workshop, AAAI. 1998. (PDF)

  • Tim Oates. Cooperative Information Gathering: a Distributed Problem Solving Approach. IEEE Journal of Software Engineering, Special issue on Developing Agent Based Systems. 1997. (PDF)

  • Paul R. Cohen. Mark Atkin. Tim Oates. Carole Beal. Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment. Proceedings of the First International Conference on Autonomous Agents. 1997. (PDF)

  • David Jensen. Tim Oates. Paul R. Cohen. Building Simple Models: A Case Study with Decision Trees. Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium. 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. David Jensen. The Effects of Training Set Size on Decision Tree Complexity. Proceedings of the Fourteenth International Conference on Machine Learning; An earlier version is in Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. 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)

  • David Jensen. Tim Oates. Paul R. Cohen. Building Simple Models: A Case Study with Decision Trees. Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium. 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. David Jensen. The Effects of Training Set Size on Decision Tree Complexity. Proceedings of the Fourteenth International Conference on Machine Learning, An earlier version is in Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics. 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)

  • Tim Oates. David Jensen. Paul R. Cohen. Automatically Acquiring Rules for Event Correlation from Event Logs. Technical Report 97-14, Dept. of Computer Science, University of Massachusetts/Amherst.. 1997. (PDF)

  • Paul R. Cohen. Tim Oates. Mark Atkin. Preliminary Evidence That Conceptual Structure Can Be Learned by Interacting with an Environment. AAAI Fall Symposium on Embodied Cognition and Action Technical Report FS-96-02. 1996. (PDF)

  • Paul R. Cohen. Tim Oates. Mark Atkin. Carole Beal. Building a Baby. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. 1996. (PDF)

  • Tim Oates. Paul R. Cohen. Searching for Planning Operators with Context-Dependent and Probabilistic Effects. Proceedings of the Thirteenth National Conference on Artificial Intelligence. 1996. (PDF)

  • Tim Oates. Paul R. Cohen. Searching for Structure in Multiple Streams of Data. Proceedings of the Thirteenth International Conference on Machine Learning. 1996. (PDF)

  • Tim Oates. Paul R. Cohen. Learning Planning Operators with Conditional and Probabilistic Effects. AAAI-96 Spring Symposium on Planning with Incomplete Information for Robot Problems. 1996. (PDF)

  • Paul R. Cohen. Tim Oates. Mark Atkin. Preliminary Evidence That Conceptual Structure Can Be Learned by Interacting with an Environment. AAAI Fall Symposium on Embodied Cognition and Action.Technical Report FS-96-02. 1996. (PDF)

  • Paul R. Cohen. Tim Oates. Mark Atkin. Carole Beal. Building a Baby. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. 1996. (PDF)

  • Tim Oates. Paul R. Cohen. Searching for Planning Operators with Context-Dependent and Probabilistic Effects. Proceedings of the Thirteenth National Conference on Artificial Intelligence. 1996. (PDF)

  • Tim Oates. Paul R. Cohen. Searching for Structure in Multiple Streams of Data. Proceedings of the Thirteenth International Conference on Machine Learning. 1996. (PDF)

  • Tim Oates. Paul R. Cohen. Learning Planning Operators with Conditional and Probabilistic Effects. AAAI-96 Spring Symposium on Planning with Incomplete Information for Robot Problems. 1996. (PDF)

  • Paul R. Cohen. Tim Oates. Robert St. Amant. Plan Steering and Mixed-Initiative Planning. Advanced Planning Technology: Technological Achievements of the ARPA/Rome Laboratory Planning Initiative.. 1996. (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)

  • Paul R. Cohen. Tim Oates. Finding Structure in Streams. Proceedings of the IDA-95 Symposium of the International Institute for Advanced Studies in Systems Research, Informatics and Cybernetics, vol. 1. 1995. (PDF)

  • Paul R. Cohen. Mark Atkin. Tim Oates. Gregory Dawn E.. A Representation and Learning Mechanisms for Mental States. Symposium on Representing Mental States and Mechanisms,AAAI-95 Spring Symposium Series. 1995. (PDF)

  • Tim Oates. Dawn E Gregory. Paul R. Cohen. Detecting Complex Dependencies in Categorical Data. Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, Ft. Lauderdale, FL. 1995. (PDF)

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

  • Tim Oates. Fault Identification in Computer Networks: A Review and a New Approach. Technical Report 95-113, Dept. of Computer Science, University of Massachusetts/Amherst.. 1995. (PDF)

  • Tim Oates. Paul R. Cohen. Mixed-Initiative Schedule Maintenance: A First Step Toward Plan Steering. Proceedings of the ARPA/Rome Lab Planning Initiative Workshop. 1994. (PDF)

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

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

  • Tim Oates. Paul R. Cohen. Humans Plus Agents Maintain Schedules Better than Either Alone. Technical Report 94-03, Dept. of Computer Science, University of Massachusetts. 1994. (PDF)

© 2006, Learning and Development Center, USC ISI. All rights reserved.