Kagan Tumer's Publications

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• 2006 • 2005 • 2004 • 2003 • 2002 • 2001 • 2000 • 1999 • 1998 • 1997 • 1996 • 1995 • 1994 • 1992 • 1991 •

2006

• Analyzing and Visualizing Multi-Agent Rewards in Dynamic and Stochastic Environments. A. K. Agogino and K. Tumer. submitted, , 2006.
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• Efficient Evaluation Functions for Evolving Coordination. A. K. Agogino and K. Tumer. submitted, , 2006.
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• Active Labels for Robust Cluster Ensembles. A. K. Agogino and K. Tumer. submitted, , 2006.
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• Handling Communiction Restrictions and Team Formation in Congestion Games. A. K. Agogino and K. Tumer. Journal of Autonous Agents and Multi Agent Systems, , 2006. to appear
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• QUICR-learning for Multi-Agent Coordination. A. Agogino and K. Tumer. In Proceedings of the 21st National Conference on Artificial Intelligence, Boston, MA, July 2006.
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• Distributed Evaluation Functions for Fault Tolerant Multi Rover Systems. A. Agogino and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, Seattle, WA, July 2006.
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• Efficient Agent-Based Cluster Ensembles. A. Agogino and K. Tumer. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan, May 2006. to appear
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• Entropy Based Anomaly Detection Applied to Space Shuttle Main Engines. A. Agogino and K. Tumer. In Proceedings of the IEEE Aerospace Conference, Big Sky, MO, March 2006. to appear
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• Efficient Agent-Based Models for Non-Genomic Evolution. N. Gupta, A. Agogino, and K. Tumer. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan, May 2006. to appear
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• Efficient Reward Functions for Adaptive Multi-Rover Systems. K. Tumer and A. K. Agogino. In K. Tuyls, P. Jan't Hoen, S. Sen, and K. Verbeeck, editors, Learning and Adaptation in Multi Agent Systems, Lecture notes in AI, Springer, 2006. to appear
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• Coordinating Multi-Rover Systems: Evaluation Functions for Dynamic and Noisy Environments. K. Tumer and A. K. Agogino. In S. Yang, editors, Evolutionary Computation in Dynamic and Uncertain Environments, Springer, 2006. to appear
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• Coordination in Large Collectives. K. Tumer and D. Wolpert. In Y. Bar-Yam, editors, Fifth International Conference on Complex Systems, Perseus Books, 2006. to appear
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• Coordinating Simple and Unreliable Agents. K. Tumer. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan, May 2006. (short paper) to appear
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• Robust Coordination of a Large Set of Simple Rovers. K. Tumer and A. Agogino. In Proceedings of the IEEE Aerospace Conference, Big Sky, MO, March 2006. to appear
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2005

• Multi Agent Reward Analysis for Learning in Noisy Domains. A. Agogino and K. Tumer. In Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Utrecht, Netherlands, July 2005.
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• Efficient Credit Assignment through Evaluation Function Decomposition. A. Agogino, K. Tumer, and R. Miikulainen. In The Genetic and Evolutionary Computation Conference, Washington, DC, June 2005.
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• Reinforcement Learning in Large Multi-agent Systems. A. Agogino and K. Tumer. In AAMAS-05 Workshop on Coordination of Large Scale Multi-Agent Systems, Utrecht, Netherlands, July 2005.
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• Designing Agent Utilities for Coordinated, Scalable and Robust Multi-Agent Systems. K. Tumer. In P. Scerri, R. Mailler, and R. Vincent , editors, Challenges in the Coordination of Large Scale Multiagent Systems, pp. 173–188, Springer, 2005.
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• A Distributed and Adaptive Health and Mission Management Architecture. K. Tumer, S. Uckun, and A. Agogino. In Integrated Systems Health Managemet Conference, Cincinati, OH, August 2005. extended abstract
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• Coordinating Multi-Rover Systems: Evaluation Functions for Dynamic and Noisy Environments. K. Tumer and A. Agogino. In The Genetic and Evolutionary Computation Conference, Washington, DC, June 2005.
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• Complexity Signatures for System Health Monitoring. K. Tumer and A. Agogino. In Proceedings of the IEEE Aerospace Conference, Big Sky, MO, March 2005.
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• Efficient Reward Functions for Adaptive Multi-Rover Systems. K. Tumer and A. Agogino. In AAMAS-05 Workshop on Learning and Adaptation in Multi-Agent Systems, Utrecht, Netherlands, July 2005.
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2004

• Unifying Temporal and Structural Credit Assignment Problems. A. Agogino and K. Tumer. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multi-Agent Systems, New York, NY, July 2004.
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• Efficient Evaluation Functions for Multi-Rover Systems. A. Agogino and K. Tumer. In The Genetic and Evolutionary Computation Conference, pp. 1–12, Seatle, WA, June 2004.
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• Providing Effective Access to Shared Resources: A COIN Approach. S. Airau, S. Sen, D. Wolpert, and K. Tumer. In G. Di Marzo Serugendo, A. Karageorgos, O. F. Rana, and F. Zambonelli, editors, Engineering Self-Organizing Systems: Nature-Inspired Approaches to Software Engineering, Lecture Notes in Computer Science, pp. 249–264, Springer-Verlag, 2004.
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• Collectives and the Design of Complex Systems, K. Tumer and D. Wolpert, editors. Springer, New York, 2004.
  Available from the publisher's website.
  ISBN 0-387-40165-2
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• A Survey of Collectives. K. Tumer and D. Wolpert. In K. Tumer and D. Wolpert, editors, Collectives and the Design of Complex Systems, pp. 1–42, Springer, 2004.
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• Overcoming Communication Restrictions in Collectives. K. Tumer and A. Agogino. In Proceedings of the International Joint Conference on Neural Networks, Budapest, Hungary, July 2004.
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• Time-Extended Policies in Multi-Agent Reinforcement Learning. K. Tumer and A. Agogino. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 1336–1337, New York, NY, July 2004.
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• Coordination in large Multi-Agent Systems. K. Tumer. In AAMAS-04 Workshop on Challenges in the Coordination of Large Scale Multiagent Systems, New York, NY, July 2004.
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• Improving Search Algorithms by Using Intelligent Coordinates. D. H. Wolpert, K. Tumer, and E. Bandari. Physical Review E, 69, 2004.
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2003

• Team Formation and Communication Restrictions in Collectives. A. Agogino and K. Tumer. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, Melbourne, Australia, July 2003.
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• Providing Effective Access to Shared Resources: A COIN Approach. S. Airau, S. Sen, D. Wolpert, and K. Tumer. In AAMAS-03 Workshop on Engineering Self-Organizing Systems, Melbourne, Australia, July 2003.
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• Classification of Aircraft Maneuvers for Fault Detection. N. C. Oza, I. Y. Tumer, K. Tumer, and E. Huff. In Proceedings of the Fourth International Workshop on Multiple Classifier Systems, pp. 375–384, Springer, Surrey, UK, June 2003.
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• Bayes Error Rate Estimation using Classifier Ensembles. K. Tumer and J. Ghosh. International Journal of Smart Engineering System Design, 5(2):95–110, 2003.
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• Input Decimated Ensembles. K. Tumer and N. C. Oza. Pattern Analysis and Applications, 6(1):65–77, 2003.
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• Collectives for Multiple Resource Job Scheduling Across Heterogeneous Servers. K. Tumer and J. Lawson. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, Melbourne, Australia, July 2003.
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2002

• Robust Combining of Disparate Classifiers through Order Statistics. K. Tumer and J. Ghosh. Pattern Analysis and Applications, 5(2):189–200, 2002.
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• Learning Sequences of Actions in Collectives of Autonomous Agents. K. Tumer, A. Agogino, and D. Wolpert. In Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 378–385, Bologna, Italy, July 2002.
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• Collective Intelligence, Data Routing and Braess' Paradox. D. H. Wolpert and K. Tumer. Journal of Artificial Intelligence Research, 16:359–387, 2002.
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• Optimal Payoff Functions for Members of Collectives. D. H. Wolpert and K. Tumer. In F. Schweitzer, editors, Modeling Complexity in Economic and Social Systems, pp. 355–369, World Scientific, 2002.
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• Beyond Mechanism Design. D. H. Wolpert and K. Tumer. In ICM Game Theory Conference, ``Heterogeneous and Social Games'' Special Session, Qingdao, China, August 2002.
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• Overview of Design of Collectives. D. H. Wolpert and K. Tumer. In Robosphere 2002: Self Sustaining Robotic Ecologies, pp. 11–16, Moffett Field, CA., November 2002.
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2001

• Input Decimated Ensembles: Decorrelation through Dimensionality Reduction. N. C. Oza and K. Tumer. In Kittler, J. and Roli, F., editors, Proceedings of the Second International Workshop on Multiple Classifier Systems, pp. 238–249, Springer, Cambridge, UK, June 2001.
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• Optimal Payoff Functions for Members of Collectives. D. H. Wolpert and K. Tumer. Advances in Complex Systems, 4(2/3):265–279, 2001.
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• Optimal Reward Functions in Distributed Reinforcement Learning. D. H. Wolpert and K. Tumer. In Proceedings of the Second Asia-Pacific Conference on Intelligent Agent Technology (IAT-2001), Maebashi City, Japan, October 2001.
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• Reinforcement Learning in Distributed Domains: Beyond Team Games. D. H. Wolpert, J. Sill, and K. Tumer. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, pp. 819–824, Seattle, WA, 2001.
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• Reinforcement Learning in Distributed Domains: An Inverse game Theoretic Approach. D. H. Wolpert and K. Tumer. In 2001 AAAI Spring Symposium on Game Theoretic and Decision Theoretic Agents, Stanford, CA, March 2001.
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2000

• Ensemble Techniques for Data Mining in Heterogeneous Environments. J. Ghosh and K. Tumer. In Institute for Operations Research and the Management Sciences Conferences, San Antonio, TX, November 2000.
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• Robust Order Statistics Based Ensembles for Distributed Data Mining. K. Tumer and J. Ghosh. In H. Kargupta and P. Chan, editors, Advances in Distributed and Parallel Knowledge Discovery, pp. 185–210, AAAI/MIT Press, 2000.
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• Collective Intelligence and Braess' Paradox. K. Tumer and D. H. Wolpert. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 104–109, Austin, TX, 2000.
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• Designing Reward Functions for Multi-Agent Systems: A Collective Intelligence Approach. K. Tumer and D. H. Wolpert. In ICML-2000 Workshop on Multi-Agent Learning: Theory and Practice, Stanford, CA, July 2000.
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• Collective Intelligence for Control of Distributed Dynamical Systems. D. H. Wolpert, K. Wheeler, and K. Tumer. Europhysics Letters, 49(6), March 2000.
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• Adaptivity in Agent-Based Routing for Data Networks. D. H. Wolpert, S. Kirshner, C. J. Merz, and K. Tumer. In Proceedings of the fourth International Conference of Autonomous Agents, pp. 396–403, Barcelona, Spain, 2000.
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• Illustration of the COIN Approach to the Design of Multi-Agent Systems. D. H. Wolpert and K. Tumer. In AGENTS-00/ECML-00 Workshop on Learning Agents, Barcelona, Spain, June 2000.
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1999

• Strategic Behavior, Learning and the Efficient Allocation of Network Resources. A. M. Bell, W. Sethares, D. Lucking-reiley, D. H. Wolpert, K. Tumer, and J. Frank. In International Congress on Networks, Groups and Coalitions, Manresa, Spain, May 1999.
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• Linear and Order Statistics Combiners for Pattern Classification. K. Tumer and J. Ghosh. In A. J. C. Sharkey, editors, Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems, pp. 127–162, Springer-Verlag, London, 1999.
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• Decimated Input Ensembles for Improved Generalization. K. Tumer and N. C. Oza. In Proceedings of the International Joint Conference on Neural Networks, Washington, D.C., July 1999.
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• General Principles of Learning-Based Multi-Agent Systems. D. H. Wolpert, K. Wheeler, and K. Tumer. In Proceedings of the Third International Conference of Autonomous Agents, pp. 77–83, May 1999.
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• Using Collective Intelligence to Route Internet Traffic. D. H. Wolpert, K. Tumer, and J. Frank. In Advances in Neural Information Processing Systems - 11, pp. 952–958, MIT Press, 1999.
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• Collective Intelligence. D. H. Wolpert and K. Tumer. In Fourth Workshop on Economics with Heterogeneous Interacting Agents, Genoa, Italy, June 1999.
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• Collective Intelligence for Optimization. D. H. Wolpert and K. Tumer. In IJCAI-99 Workshop on Statistical Machine Learning for Large Scale Optimization, Stockholm, Sweden, July 1999. A short version of this article appears on pages 48-50 of Neural Computing Surveys, vol. 3, pp 1-58,2000, edited by J. Boyan, W. Buntine and A. Jagota.
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• Collective Intelligence for Network Routing. D. Wolpert, K. Tumer, and A. M. Bell. In AAAI-99 Workshop, Orlando, FL, July 1999.
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1998

• Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer. K. Tumer, N. Ramanujam, J. Ghosh, and R. Richards-Kortum. IEEE Transactions on Biomedical Engineeiring, 45(8):953–961, 1998.
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• A Mutual Information Based Ensemble Method to Estimate the Bayes Error. K. Tumer, K. D. Bollacker, and J. Ghosh. In Intelligent Engineering Systems through Artificial Neural Networks, pp. 17–22, ASME Press, 1998.
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• Classifier Combining through Trimmed Means and Order Statistics. K. Tumer and J. Ghosh. In Proceedings of the International Joint Conference on Neural Networks, pp. 757–762, Anchorage, AL, June 1998.
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1997

• Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks. K. Tumer, N. Ramanujam, R. Richards-Kortum, and J. Ghosh. In Advances in Neural Information Processing Systems - 9, pp. 981–987, M.I.T. Press, 1997.
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1996

• Integration of Neural Classifiers for Passive Sonar Signals. J. Ghosh, K. Tumer, S. Beck, and L. Deuser. In C.T. Leondes, editors, Control and Dynamic Systems---Advances in Theory and Applications, pp. 301–338, Academic Press, 1996.
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• Analysis of Decision Boundaries in Linearly Combined Neural Classifiers. K. Tumer and J. Ghosh. Pattern Recognition, 29(2):341–348, 1996.
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• Error Correlation and Error Reduction in Ensemble Classifiers. K. Tumer and J. Ghosh. Connection Science, 8(3/4):385–404, 1996.
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• Estimating the Bayes Error Rate Through Classifier Combining. K. Tumer and J. Ghosh. In Proceedings of the Thirteenth International Conference on Pattern Recognition, pp. IV:695–99, Vienna, Austria, August 1996.
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• Classifier Combining: Analytical Results and Implications. K. Tumer and J. Ghosh. In Integrating Multiple Learned Models for Improving and Scaling Machine Learning Algorithms, workshop at the Thirteenth National Conference on Artificial Intelligence, Portland, OR, August 1996.
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• Linear and Order Statistics Combiners for Reliable Pattern Classification. K. Tumer. Ph.D. Thesis, The University of Texas, Austin, TX, 1996.
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1995

• Designing Genetic Algorithms for the State Assignment Problem. J. N. Amaral, K. Tumer, and J. Ghosh. IEEE Transactions on Systems, Man and Cybernetics, 25(4):687–695, April 1995.
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• Limits to Performance Gains in Combined Neural Classifiers. K. Tumer and J. Ghosh. In Intelligent Engineering Systems through Artificial Neural Networks, pp. 419–424, St. Louis, November 1995.
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• Order Statistics Combiners for Neural Classifiers. K. Tumer and J. Ghosh. In Proceedings of the World Congress on Neural Networks, pp. I:31–34, INNS Press, Washington D.C., July 1995.
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• Boundary Variance Reduction for Improved Classification through Hybrid Networks (Invited Paper). K. Tumer and J. Ghosh. In Applications and Science of Artificial Neural Networks, Proceedings of the SPIE (Vol. 2492), pp. 573–584, April 1995.
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1994

• Structural Adaptation and Generalization in Supervised Feedforward Networks. J. Ghosh and K. Tumer. Journal of Artificial Neural Networks, 1(4):431–458, 1994.
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• A Framework for Estimating Performance Improvements in Hybrid Pattern Classifiers. K. Tumer and J. Ghosh. In Proceedings of the World Congress on Neural Networks, pp. III:220–225, INNS Press, San Diego, June 1994.
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• Sequence Recognition by Input Anticipation. K. Tumer and J. Ghosh. In Proceedings of the Seventh International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Austin, TX, June 1994.
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1992

• Applying Genetic Algorithms to the State Assignment Problem: A case study. J. N. Amaral, J. Ghosh, and K. Tumer. In Adaptive and Learning Systems, Proceedings of the SPIE (Vol. 1706), pp. 2–13, Orlando, FL, April 1992.
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• Integration of Local and Global Neural Classifiers for Passive Sonar Signals. J. Ghosh, K. Tumer, S. Beck, and L. Deuser. In Proceedings of the International Simulation Technology Conference, pp. 539–545, Houston, TX, November 1992.
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• Master's Thesis
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1991

• A New Algorithm for Automatic Shoulder Bed Correction. K. Tumer, D. Torres, and R. Chemali. In Transactions of the Society of Professional Well Log Analysts' 32nd Annual Logging Symposium, SPWLA, Midland, TX, June 1991.
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