• Local Approximation of Difference Evaluation Functions. M. Colby, T. Duchow-Pressley, J. J. Chung, and K. Tumer. In Proceedings of the Fifteenth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. , Singapore, May 2016. Abstract-Bibtex   
    • Multi-objective Neuro-evolutionary Control for a Fuel Cell Turbine Hybrid Energy System. M. Colby, L. Yliniemi, P. Pezzini, D. Tucker, K.M. Bryden, and K. Tumer. InProceedings of Genetic and Evolutionary Computation Conference (GECCO), pp. , Denver, CO, July 2016. (to appear) Abstract-Bibtex   
    • Neuroevolution of a Hybrid Power Plant Simulator. S. Khadka, K. Tumer M. Colby, D. Tucker, P. Pezzini, and K.M. Bryden. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO), pp. , Denver, CO, July 2016. (to appear) Abstract-Bibtex   
    • Design of Complex Engineering System Using Multiagent Coordination. N. Soria Zurita, M. Colby, I. Tumer, K. Tumer, and C. Hoyle. In ASME Design Engineering Conference, pp. , Charlotte, NC, August 2016. (to appear) Abstract-Bibtex   
    • Implicit Adaptive Multi-Robot Coordination in Dynamic Environments. M. Colby, J. Chung, and K. Tumer. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), pp. 5168–5173, Hamburg, Germany, September 2015. Abstract-Bibtex   [pdf] (413.6kB ) 
    • An Evolutionary Game Theoretic Analysis of Difference Evaluation Functions. M. Colby and K. Tumer. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO), Madrid, Spain, July 2015. Abstract-Bibtex   [pdf] (320.3kB ) 
    • Counterfactual Exploration for Improving Multiagent Learning. M. Colby, S. Kharaghani, C. HolmesParker, and K. Tumer. In Proceedings of the Fourteenth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. , Istanbul, Turkey, May 2015. Abstract-Bibtex   [pdf] (319.0kB ) 
    • A Replicator Dynamics Analysis of Difference Evaluation Functions (Extended Abstract). M. Colby and K. Tumer. In Proceedings of the Fourteenth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. , Istanbul, Turkey, May 2015. Abstract-Bibtex   [pdf] (167.7kB ) 
    • Approximating Difference Evaluations with Local Information (Extended Abstract). M. Colby, W. Curran, and K. Tumer. In Proceedings of the Fourteenth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. , Istanbul, Turkey, May 2015. Abstract-Bibtex   [pdf] (169.6kB ) 
    • Learning Based Control of a Fuel Cell Turbine Hybrid Power System (Extended Abstract). A. Gabler, M. Colby, and K. Tumer. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO), Madrid, Spain, July 2015. Abstract-Bibtex   
    • Learning to Trick Cost-Based Planners into Cooperative Behavior. C. Rebhuhn, J. J. Chung, R. Skeele, G. Hollinger, and K. Tumer. In The 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), pp. 4627–4633, Hamburg, Germany, September 2015. Abstract-Bibtex   [pdf] (423.2kB ) 
    • Multi-Objective Multiagent Credit Assignment in NSGA-II Using Difference Evaluations (Extended Abstract). L. Yliniemi and K. Tumer. In Proceedings of the Fourteenth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. , Istanbul, Turkey, May 2015. Abstract-Bibtex   
    • Approximating Difference Evaluations with Local Knowledge (Extended Abstract). M. Colby, W. Curran, C. Rebhuhn, and K. Tumer. In Proceedings of the Thirteenth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. , Paris, France, May 2014. Abstract-Bibtex   [pdf] (191.5kB ) 
    • Hierarchical Simulation for Complex Domains : Air Traffic Flow Management. W. Curran, A. Agogino, and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, Vancouver, Canada, July 2014. Abstract-Bibtex   [pdf] (407.4kB ) 
    • Using Reward/Utility Based Impact Scores in Partitioning (Extended Abstract). W. Curran, A. Agogino, and K. Tumer. In Proceedings of the Thirteenth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. , Paris, France, May 2014.Abstract-Bibtex   [pdf] (202.3kB ) 
    • Potential-Based Difference Rewards for Multiagent Reinforcement Learning. S. Devlin, L. Yliniemi, D. Kudenko, and K. Tumer. In Proceedings of the Thirteenth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. , Paris, France, May 2014.Abstract-Bibtex   [pdf] (669.2kB ) 
    • CLEAN Rewards to Improve Coordination by Removing Exploratory Action Noise. C. HolmesParker, M. Taylor, A. Agogino, and K. Tumer. In International Conference on Intelligent Agent Technology, Warsaw, Poland, August 2014. Abstract-Bibtex   [pdf] (417.0kB ) 
    • CLEANing the Reward: Counterfactual Actions Remove Exploratory Action Noise in Multiagent Learning (Extended Abstract). C. HolmesParker, M. Taylor, A. Agogino, and K. Tumer. In Proceedings of the Thirteenth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. , Paris, France, May 2014. Abstract-Bibtex   [pdf] (195.6kB ) 
    • Flop and Roll: Learning Robust Goal-Directed Locomotion for a Tensegrity Robot. A. Iscen, A. Agogino, V. SunSpiral, and K. Tumer. In The 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), Chicago, IL, September 2014.Abstract-Bibtex   
    • A Multiagent Approach to Identifying Innovative Component Selection. C. Rebhuhn, B. Gilchrist, S. Oman, I.Y. Tumer, R. Stone, and K. Tumer. In Proceedings of the Sixth International Conference on Design Computing and Cognition, London, UK, June 2014.Abstract-Bibtex   [pdf] (774.7kB ) 
    • PaCcET: An Objective Space Transformation to Iteratively Convexify the Pareto Front. L. Yliniemi and K. Tumer. In The Tenth International Conference on Simulated Evolution And Learning (SEAL 2014), Dunedin, New Zealand, December 2014. Abstract-Bibtex   [pdf] (5.2MB ) 
    • Multi-Objective Multiagent Credit Assignment Through Difference Rewards in Reinforcement Learning. L. Yliniemi and K. Tumer. In The Tenth International Conference on Simulated Evolution And Learning (SEAL 2014), Dunedin, New Zealand, December 2014. Abstract-Bibtex   [pdf] (2.1MB ) 
    • Evolutionary Agent-Based Simulation of the Introduction of New Technologies in Air Traffic Management. L. Yliniemi, A. Agogino, and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, Vancouver, Canada, July 2014. Abstract-Bibtex   [pdf] (294.2kB ) 
    • Multiagent Reinforcement Learning in a Distributed Sensor Network with Indirect Feedback. M. Colby and K. Tumer. In Proceedings of the Twelveth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 941–948, Minneapolis, MN, May 2013. Abstract-Bibtex   [pdf] (422.9kB ) 
    • Addressing Hard Constraints in the Air Traffic Problem through Partitioning and Difference Rewards (extended abstract). W. Curran and K. Tumer. In Proceedings of the Twelveth International Joint Conference on Autonomous Agents and Multiagent Systems, Minneapolis, MN, May 2013. Abstract-Bibtex   [pdf] (533.9kB ) 
    • Partitioning Agents and Shaping Their Evaluation Functions in Air Traffic Problems with Hard Constraints (short paper). W. Curran, A. Agogino, and K. Tumer. InProceedings of the Genetic and Evolutionary Computation Conference, Amsterdam, The Netherlands, July 2013. Abstract-Bibtex   
    • CLEAN Rewards for Improving Multiagent Coordination in the Presence of Exploration (extended abstract). C. HolmesParker, A. Agogino, and K. Tumer. InProceedings of the Twelveth International Joint Conference on Autonomous Agents and Multiagent Systems, Minneapolis, MN, May 2013. Abstract-Bibtex   [pdf] (193.6kB ) 
    • Exploiting Structure and Utilizing Agent-Centric Rewards to Promote Coordination in Large Multiagent Systems (extended abstract). C. HolmesParker, A. Agogino, and K. Tumer. In Proceedings of the Twelveth International Joint Conference on Autonomous Agents and Multiagent Systems, Minneapolis, MN, May 2013. Abstract-Bibtex   [pdf] (186.9kB ) 
    • Controlling Tensegrity Robots through Evolution. A. Iscen, A. Agogino, V. SunSpiral, and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, Amsterdam, The Netherlands, July 2013. Abstract-Bibtex   [pdf] (2.7MB ) 
    • Decentralized Coordination via Task Decomposition and Reward Shaping (extended abstract). A. Iscen and K. Tumer. In Proceedings of the Twelveth International Joint Conference on Autonomous Agents and Multiagent Systems, Minneapolis, MN, May 2013.Abstract-Bibtex   [pdf] (210.6kB ) 
    • Learning to Control Complex Tensegrity Robots (extended abstract). A. Iscen, A. Agogino, V. SunSpiral, and K. Tumer. In Proceedings of the Twelveth International Joint Conference on Autonomous Agents and Multiagent Systems, Minneapolis, MN, May 2013.Abstract-Bibtex   [pdf] (622.3kB ) 
    • Multiagent Learning with a Noisy Global Reward Signal. S. Proper and K. Tumer. InProceedings of the Twenty Seventh AAAI Conference on Artificial Intelligence (AAAI-13), Bellevue, WA, July 2013. Abstract-Bibtex   [pdf] (172.5kB ) 
    • Graphical Models in Continuous Domains for Multiagent Reinforcement Learning (extended abstract). S. Proper and K. Tumer. In Proceedings of the Twelveth International Joint Conference on Autonomous Agents and Multiagent Systems, Minneapolis, MN, May 2013. Abstract-Bibtex   [pdf] (133.1kB ) 
    • Elo Ratings for Structural Credit Assignment in Multiagent Systems. L. Yliniemi and K. Tumer. In Proceedings of the Twenty Seventh AAAI Conference on Artificial Intelligence (AAAI-13), Late Breaking Papers, Bellevue, WA, July 2013. Abstract-Bibtex   
    • Evolving Large Scale UAV Communication Systems. A. Agogino, C. Holmes Parker, and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, Philadelphia, PA, July 2012. Best "Real World Applications" paper award. Abstract-Bibtex   [pdf] (1.3MB ) 
    • Shaping Fitness Functions for Coevolving Cooperative Multiagent Systems. M. Colby and K. Tumer. In Proceedings of the Eleventh International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 425–432, Valencia, Spain, June 2012.Abstract-Bibtex   [pdf] (454.5kB ) 
    • Policy Transfer in Mobile Robots using Neuro-Evolutionary Navigation (Extended Abstract). M. Knudson and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, Philadelphia, PA, July 2012. Abstract-Bibtex   
    • Evolving Distributed Resource Sharing for CubeSat Constellations. C. Holmes Parker, A. Agogino, and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, Philadelphia, PA, July 2012. Abstract-Bibtex   [pdf] (310.6kB ) 
    • Modeling Difference Rewards for Multiagent Learning (Extended Abstract). S. Proper and K. Tumer. In Proceedings of the Eleventh International Joint Conference on Autonomous Agents and Multiagent Systems, Valencia, Spain, June 2012. Abstract-Bibtex   [pdf] (121.8kB ) 
    • Optimizing Ballast Design of Wave Energy Converters Using Evolutionary Algorithms. M. Colby, E. Nasroullahi, and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1739–1746, Dublin, Ireland, July 2011. Abstract-Bibtex   [pdf] (243.2kB ) 
    • Aligning Spectrum-User Objectives for Maximum Inelastic Traffic Reward. B. Hamdaoui, M. J. Norooz Oliaee, and K. Tumer.. In Proceedings of the 2011 International Conference on Computer Communication Networks (ICCCN), Maui, HI, July 2011. Abstract-Bibtex   
    • Achieving Optimal Elastic Traffic Rewards in Dynamic Multichannel Access. M. J. Norooz Oliaee, B. Hamdaoui, and K. Tumer.. In Proceedings of the IEEE International Conference on High Performance Computing and Simulation Conference, Istanbul, Turkey, July 2011. Abstract-Bibtex   
    • Agent Fitness Functions for Evolving Coordinated Sensor Networks. C. Roth, M. Knudson, and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, Dublin, Ireland, July 2011. Abstract-Bibtex   [pdf] (865.4kB ) 
    • Robust Neuro-Control for A Micro Quadrotor. J. Shepherd III and K. Tumer. InProceedings of the Genetic and Evolutionary Computation Conference, pp. 1131–1138, Portland, OR, July 2010. Nominated for best "Real World Applications" paper award.Abstract-Bibtex   [pdf] (600.8kB ) 
    • Coevolution of Heterogeneous Multi-Robot Teams. M. Knudson and K. Tumer. InProceedings of the Genetic and Evolutionary Computation Conference, Portland, OR, July 2010. Abstract-Bibtex   [pdf] (772.7kB ) 
    • Robot Coordination with Ad-hoc Team Formation (Extended Abstract). M. Knudson and K. Tumer. In Proceedings of the Ninth International Joint Conference on Autonomous Agents and Multiagent Systems, Toronto, Canada, May 2010. Abstract-Bibtex   [pdf] (160.5kB ) 
    • A Neuro-Evolutionary Approach to Micro Aerial Vehicle Control. M. Salichon and K. Tumer. In Proceedings of the Genetic and Evolutionary Computation Conference, Portland, OR, July 2010. Nominated for best "Real World Applications" paper award. Abstract-Bibtex   [pdf] (539.7kB ) 
    • Improving Air Traffic Management through Agent Suggestions (extended abstract). A. Agogino and K. Tumer. In Proceedings of the Eighth International Joint Conference on Autonomous Agents and Multiagent Systems, Budapest, Hungary, May 2009. Abstract-Bibtex   [pdf] (133.6kB ) 
    • Learning from Actions Not Taken: A Multiagent Learning Algorithm (extended abstract). N. Khani and K. Tumer. In Proceedings of the Eighth International Joint Conference on Autonomous Agents and Multiagent Systems, Budapest, Hungary, May 2009. Abstract-Bibtex   
    • Regulating Air Traffic Flow with Coupled Agents. A. Agogino and K. Tumer. InProceedings of the Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, Estoril, Portugal, May 2008. Abstract-Bibtex   [pdf] (405.5kB ) 
    • Optimization of Sensor/Neuro-Controller Pairings for Effective Navigation. J. Junell, M. Knudson, and K. Tumer. In Intelligent Engineering Systems through Artificial Neural Networks, pp. 19–26, ASME Press, 2008. Abstract-Bibtex   
    • Fast Multiagent Learning: Cashing in on Team Knowledge. N. Khani and K. Tumer. InIntelligent Engineering Systems through Artificial Neural Networks, pp. 3–10, ASME Press, 2008. 1st runner up for best theoretical development paper award. Abstract-Bibtex   
    • Neuro-Evolutionary Navigation for Resource-Limited Mobile Robots . M. Knudson and K. Tumer. In Intelligent Engineering Systems through Artificial Neural Networks, pp. 27–34, ASME Press, 2008. 2nd runner up for best application paper award. Abstract-Bibtex   
    • Towards Coordinating Autonomous Robots for Exploration in Dynamic Environments. M. Knudson and K. Tumer. In Intelligent Engineering Systems through Artificial Neural Networks, pp. 587–594, ASME Press, 2008. Abstract-Bibtex   
    • A Neuro-evolutionary Approach to Micro Aerial Vehicle Control. M. Salichon and K. Tumer. In Intelligent Engineering Systems through Artificial Neural Networks, pp. 11–18, ASME Press, 2008. Abstract-Bibtex   
    • Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach. K. Tumer and A. Agogino. In Proceedings of the Twenty Third AAAI Conference on Artificial Intelligence, Nectar Track, Chicago, IL, July 2008. Abstract-Bibtex   [pdf] (244.2kB ) 
    • Aligning social welfare and agent preferences to alleviate traffic congestion. K. Tumer, Z. Welch, and A. Agogino. In Proceedings of the Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, Estoril, Portugal, May 2008. Abstract-Bibtex   [pdf] (216.2kB ) 
    • Evolving Distributed Agents for Managing Air Traffic. A. Agogino and K. Tumer. InProceedings of the Genetic and Evolutionary Computation Conference, London, UK, July 2007. Abstract-Bibtex   
    • Distributed Agent-Based Air Traffic Flow Management. K. Tumer and A. Agogino. InProceedings of the Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 330–337, Honolulu, HI, May 2007. Best paper award (Out of 531 submissions) Abstract-Bibtex   [pdf] (544.3kB ) 
    • QUICR-Learning for Multiagent Coordination. A. Agogino and K. Tumer. In Proceedings of the 21st National Conference on Artificial Intelligence, Boston, MA, July 2006. Abstract-Bibtex   [pdf] (157.5kB ) 
    • 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. Abstract-Bibtex   [pdf] (633.2kB ) 
    • Efficient Agent-Based Cluster Ensembles. A. Agogino and K. Tumer. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, Hakodate, Japan, May 2006. Abstract-Bibtex   [pdf] (312.5kB ) 
    • 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 Multiagent Systems, Hakodate, Japan, May 2006. Abstract-Bibtex   [pdf] (239.2kB ) 
    • Coordinating Simple and Unreliable Agents. K. Tumer. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, Hakodate, Japan, May 2006. (short paper) Abstract-Bibtex   
    • Multiagent Reward Analysis for Learning in Noisy Domains. A. Agogino and K. Tumer. In Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, Utrecht, Netherlands, July 2005. Abstract-Bibtex   [pdf] (258.2kB ) 
    • 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. Abstract-Bibtex   [pdf] (199.9kB ) 
    • 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. Abstract-Bibtex   [pdf] (291.4kB ) 
    • Unifying Temporal and Structural Credit Assignment Problems. A. Agogino and K. Tumer. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, New York, NY, July 2004. Abstract-Bibtex   [pdf] (239.9kB ) 
    • Efficient Evaluation Functions for Multi-Rover Systems. A. Agogino and K. Tumer. InThe Genetic and Evolutionary Computation Conference, pp. 1–12, Seattle, WA, June 2004.Abstract-Bibtex   [pdf] (284.7kB ) 
    • Overcoming Communication Restrictions in Collectives. K. Tumer and A. Agogino. InProceedings of the International Joint Conference on Neural Networks, Budapest, Hungary, July 2004. Abstract-Bibtex   [pdf] (114.4kB ) 
    • Time-Extended Policies in Multiagent Reinforcement Learning. K. Tumer and A. Agogino. In Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 1336–1337, New York, NY, July 2004. Abstract-Bibtex   [pdf] (72.2kB ) 
    • Team Formation and Communication Restrictions in Collectives. A. Agogino and K. Tumer. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, Melbourne, Australia, July 2003. (short paper) Abstract-Bibtex   [pdf] (81.5kB ) 
    • 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. Abstract-Bibtex   
    • 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 Multiagent Systems, Melbourne, Australia, July 2003. (short paper)Abstract-Bibtex   
    • 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 Multiagent Systems, pp. 378–385, Bologna, Italy, July 2002.Abstract-Bibtex   [pdf] (241.8kB ) 
    • 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. Abstract-Bibtex   [pdf] (131.7kB ) 
    • 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. Abstract-Bibtex   
    • 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. Abstract-Bibtex   [pdf] (257.3kB ) 
    • 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. Abstract-Bibtex   [pdf] (202.1kB ) 
    • 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. Abstract-Bibtex   [pdf] (162.0kB ) 
    • Decimated Input Ensembles for Improved Generalization. K. Tumer and N. C. Oza. InProceedings of the International Joint Conference on Neural Networks, Washington, D.C., July 1999. Abstract-Bibtex   
    • General Principles of Learning-Based Multiagent Systems. D. H. Wolpert, K. Wheeler, and K. Tumer. In Proceedings of the Third International Conference of Autonomous Agents, pp. 77–83, May 1999. Abstract-Bibtex   [pdf] (237.9kB ) 
    • 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. Abstract-Bibtex   [pdf] (124.6kB ) 
    • 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. Abstract-Bibtex   
    • 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. Abstract-Bibtex   [pdf] (81.9kB ) 
    • 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. Abstract-Bibtex   
    • 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. Abstract-Bibtex   
    • 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. Abstract-Bibtex   
    • Order Statistics Combiners for Neural Classifiers. K. Tumer and J. Ghosh. InProceedings of the World Congress on Neural Networks, pp. I:31–34, INNS Press, Washington D.C., July 1995. Abstract-Bibtex   
    • 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. Abstract-Bibtex   
    • 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. Abstract-Bibtex   
    • 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. Abstract-Bibtex