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Kiri Wagstaff: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kiri Wagstaff
    Refining Inductive Bias in Unsupervised Learning via Constraints. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1112- [Conf]
  2. Kiri Wagstaff, Sugato Basu, Ian Davidson
    When Is Constrained Clustering Beneficial, and Why?. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  3. Kiri Wagstaff, Claire Cardie
    Clustering with Instance-Level Constraints. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1097- [Conf]
  4. Marie desJardins, Kiri Wagstaff
    DD-PREF: A Language for Expressing Preferences over Sets. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:620-626 [Conf]
  5. Qianjun Xu, Marie desJardins, Kiri Wagstaff
    Active Constrained Clustering by Examining Spectral Eigenvectors. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2005, pp:294-307 [Conf]
  6. Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl
    Active Learning with Irrelevant Examples. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:695-702 [Conf]
  7. Qianjun Xu, Marie desJardins, Kiri Wagstaff
    Constrained Spectral Clustering under a Local Proximity Structure Assumption. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2005, pp:866-867 [Conf]
  8. Kiri Wagstaff, Claire Cardie
    Clustering with Instance-level Constraints. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:1103-1110 [Conf]
  9. Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan Schrödl
    Constrained K-means Clustering with Background Knowledge. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:577-584 [Conf]
  10. Marie desJardins, Eric Eaton, Kiri Wagstaff
    Learning user preferences for sets of objects. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:273-280 [Conf]
  11. Dennis DeCoste, Kiri Wagstaff
    Alpha seeding for support vector machines. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:345-349 [Conf]
  12. Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoon P. Yoo
    Generalized clustering, supervised learning, and data assignment. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:299-304 [Conf]
  13. Ian Davidson, Kiri Wagstaff, Sugato Basu
    Measuring Constraint-Set Utility for Partitional Clustering Algorithms. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:115-126 [Conf]
  14. Kiri Wagstaff
    The 2005 SIGART/AAAI Doctoral Consortium. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2006, v:27, n:1, pp:96- [Journal]
  15. Stefan Schrödl, Kiri Wagstaff, Seth Rogers, Pat Langley, Christopher Wilson
    Mining GPS Traces for Map Refinement. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2004, v:9, n:1, pp:59-87 [Journal]
  16. Rebecca Castaño, Kiri Wagstaff, Steve A. Chien, Timothy M. Stough, Benyang Tang
    On-board analysis of uncalibrated data for a spacecraft at mars. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:922-930 [Conf]
  17. Kiri Wagstaff
    Value, Cost, and Sharing: Open Issues in Constrained Clustering. [Citation Graph (0, 0)][DBLP]
    KDID, 2006, pp:1-10 [Conf]

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