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Kagan Tumer: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Adrian K. Agogino, Kagan Tumer
    QUICR-Learning for Multi-Agent Coordination. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  2. Kagan Tumer, David Wolpert
    Collective Intelligence and Braess' Paradox. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:104-109 [Conf]
  3. David Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer
    Adaptivity in agent-based routing for data networks. [Citation Graph (0, 0)][DBLP]
    Agents, 2000, pp:396-403 [Conf]
  4. David Wolpert, Kevin R. Wheeler, Kagan Tumer
    General Principles of Learning-Based Multi-Agent Systems. [Citation Graph (0, 0)][DBLP]
    Agents, 1999, pp:77-83 [Conf]
  5. Adrian K. Agogino, Kagan Tumer
    Team formation and communication restrictions in collectives. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2003, pp:916-917 [Conf]
  6. Adrian K. Agogino, Kagan Tumer
    Unifying Temporal and Structural Credit Assignment Problems. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:980-987 [Conf]
  7. Adrian K. Agogino, Kagan Turner
    Multi-agent reward analysis for learning in noisy domains. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2005, pp:81-88 [Conf]
  8. Adrian K. Agogino, Kagan Tumer
    Efficient agent-based cluster ensembles. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2006, pp:1079-1086 [Conf]
  9. Stéphane Airiau, Sandip Sen, David Wolpert, Kagan Tumer
    Providing Effective Access to Shared Resources: A COIN Approach. [Citation Graph (0, 0)][DBLP]
    Engineering Self-Organising Systems, 2003, pp:249-264 [Conf]
  10. Nachi Gupta, Adrian K. Agogino, Kagan Tumer
    Efficient agent-based models for non-genomic evolution. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2006, pp:58-64 [Conf]
  11. Kagan Tumer
    Coordinating simple and unreliable agents. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2006, pp:1119-1121 [Conf]
  12. Kagan Tumer, Adrian K. Agogino
    Time-Extended Policies in Multi-Agent Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:1338-1339 [Conf]
  13. Kagan Tumer, Adrian K. Agogino, David Wolpert
    Learning sequences of actions in collectives of autonomous agents. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2002, pp:378-385 [Conf]
  14. Kagan Tumer, John W. Lawson
    Collectives for multiple resource job scheduling across heterogeneous servers. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2003, pp:1142-1143 [Conf]
  15. Adrian K. Agogino, Kagan Tumer
    Efficient Evaluation Functions for Multi-rover Systems. [Citation Graph (0, 0)][DBLP]
    GECCO (1), 2004, pp:1-11 [Conf]
  16. Adrian K. Agogino, Kagan Tumer
    Distributed evaluation functions for fault tolerant multi-rover systems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1079-1086 [Conf]
  17. Adrian K. Agogino, Kagan Tumer, Risto Miikkulainen
    Efficient credit assignment through evaluation function decomposition. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1309-1316 [Conf]
  18. Kagan Tumer, Adrian K. Agogino
    Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:591-598 [Conf]
  19. Kagan Tumer, Joydeep Ghosh
    Sequence Recognition by Input Anticipation. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1994, pp:77-86 [Conf]
  20. David Wolpert, Joseph Sill, Kagan Tumer
    Reinforcement Learning in Distributed Domains: Beyond Team Games. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:819-824 [Conf]
  21. Kagan Tumer, Adrian K. Agogino
    Efficient Reward Functions for Adaptive Multi-rover Systems. [Citation Graph (0, 0)][DBLP]
    LAMAS, 2005, pp:177-191 [Conf]
  22. Nikunj C. Oza, Kagan Tumer
    Input Decimation Ensembles: Decorrelation through Dimensionality Reduction. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:238-247 [Conf]
  23. Nikunj C. Oza, Kagan Tumer, Irem Y. Tumer, Edward M. Huff
    Classification of Aircraft Maneuvers for Fault Detection. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:375-384 [Conf]
  24. Kagan Tumer, Nirmala Ramanujam, Rebecca R. Richards-Kortum, Joydeep Ghosh
    Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:981-987 [Conf]
  25. David Wolpert, Kagan Turner, Jeremy Frank
    Using Collective Intelligence to Route Internet Traffic. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:952-960 [Conf]
  26. Adrian K. Agogino, Kagan Tumer
    Handling Communication Restrictions and Team Formation in Congestion Games. [Citation Graph (0, 0)][DBLP]
    Autonomous Agents and Multi-Agent Systems, 2006, v:13, n:1, pp:97-115 [Journal]
  27. Jussi Karlgren, Pentti Kanerva, Björn Gambäck, Kenneth D. Forbus, Kagan Tumer, Peter Stone, Kai Goebel, Gaurav S. Sukhatme, Tucker R. Balch, Bernd Fischer, Doug Smith, Sanda M. Harabagiu, Vinay Chaudri, Mike Barley, Hans W. Guesgen, Thomas F. Stahovich, Randall Davis, James A. Landay
    The 2002 AAAI Spring Symposium Series. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2002, v:23, n:4, pp:101-106 [Journal]
  28. Kagan Tumer, Joydeep Ghosh
    Error Correlation and Error Reduction in Ensemble Classifiers. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1996, v:8, n:3, pp:385-404 [Journal]
  29. Kagan Tumer, David Wolpert
    Collectives for the Optimal Combination of Imperfect Objects [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  30. Kagan Tumer, David Wolpert
    Avoiding Braess' Paradox through Collective Intelligence [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  31. David Wolpert, Kagan Tumer, Jeremy Frank
    Using Collective Intelligence to Route Internet Traffic [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  32. Kagan Tumer, Joydeep Ghosh
    Robust Combining of Disparate Classifiers through Order Statistics [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  33. David Wolpert, Kevin R. Wheeler, Kagan Tumer
    Collective Intelligence for Control of Distributed Dynamical Systems [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  34. David Wolpert, Kagan Tumer
    An Introduction to Collective Intelligence [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  35. David Wolpert, Kevin R. Wheeler, Kagan Tumer
    General Principles of Learning-Based Multi-Agent Systems [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  36. David Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer
    Adaptivity in Agent-Based Routing for Data Networks [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  37. Kagan Tumer, Nirmala Ramanujam, Joydeep Ghosh, Rebecca R. Richards-Kortum
    Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  38. Kagan Tumer, Joydeep Ghosh
    Linear and Order Statistics Combiners for Pattern Classification [Citation Graph (0, 0)][DBLP]
    CoRR, 1999, v:0, n:, pp:- [Journal]
  39. David Wolpert, Kagan Tumer, Esfandiar Bandari
    Improving Search Algorithms by Using Intelligent Coordinates [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  40. David Wolpert, Kagan Tumer
    Collective Intelligence, Data Routing and Braess' Paradox. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2002, v:16, n:, pp:359-387 [Journal]
  41. Kagan Tumer, Joydeep Ghosh
    Robust Combining of Disparate Classifiers through Order Statistics. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2002, v:5, n:2, pp:189-200 [Journal]
  42. Kagan Tumer, Nikunj C. Oza
    Input decimated ensembles. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2003, v:6, n:1, pp:65-77 [Journal]
  43. Kagan Tumer, Joydeep Ghosh
    Analysis of decision boundaries in linearly combined neural classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1996, v:29, n:2, pp:341-348 [Journal]
  44. Adrian K. Agogino, Kagan Tumer
    Evolving distributed agents for managing air traffic. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1888-1895 [Conf]

  45. Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach. [Citation Graph (, )][DBLP]


  46. Distributed agent-based air traffic flow management. [Citation Graph (, )][DBLP]


  47. Aligning social welfare and agent preferences to alleviate traffic congestion. [Citation Graph (, )][DBLP]


  48. Regulating air traffic flow with coupled agents. [Citation Graph (, )][DBLP]


  49. Improving air traffic management through agent suggestions. [Citation Graph (, )][DBLP]


  50. Learning from actions not taken: a multiagent learning algorithm. [Citation Graph (, )][DBLP]


  51. Robot coordination with ad-hoc team formation. [Citation Graph (, )][DBLP]


  52. Robust neuro-control for a micro quadrotor. [Citation Graph (, )][DBLP]


  53. Coevolution of heterogeneous multi-robot teams. [Citation Graph (, )][DBLP]


  54. A neuro-evolutionary approach to micro aerial vehicle control. [Citation Graph (, )][DBLP]


  55. Analyzing and visualizing multiagent rewards in dynamic and stochastic domains. [Citation Graph (, )][DBLP]


  56. Efficient Evaluation Functions for Evolving Coordination. [Citation Graph (, )][DBLP]


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