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Yasemin Altun: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Michelle Gregory, Yasemin Altun
    Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech. [Citation Graph (0, 0)][DBLP]
    ACL, 2004, pp:677-683 [Conf]
  2. Yasemin Altun, Alexander J. Smola
    Unifying Divergence Minimization and Statistical Inference Via Convex Duality. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:139-153 [Conf]
  3. Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun
    Transductive Gaussian Process Regression with Automatic Model Selection. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:306-317 [Conf]
  4. Yasemin Altun, Thomas Hofmann, Alex J. Smola
    Gaussian process classification for segmenting and annotating sequences. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  5. Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann
    Hidden Markov Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:3-10 [Conf]
  6. Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun
    Support vector machine learning for interdependent and structured output spaces. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  7. Yasemin Altun, Thomas Hofmann, Mark Johnson
    Discriminative Learning for Label Sequences via Boosting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:977-984 [Conf]
  8. Yasemin Altun, David A. McAllester, Mikhail Belkin
    Margin Semi-Supervised Learning for Structured Variables. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  9. Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun
    Large Margin Methods for Structured and Interdependent Output Variables. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1453-1484 [Journal]
  10. Yasemin Altun, Alexander J. Smola, Thomas Hofmann
    Exponential Families for Conditional Random Fields. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:2-9 [Conf]

  11. Relative Entropy Policy Search. [Citation Graph (, )][DBLP]

  12. Learning similarity measure for multi-modal 3D image registration. [Citation Graph (, )][DBLP]

  13. Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. [Citation Graph (, )][DBLP]

  14. Novel Machine Learning Methods for MHC Class I Binding Prediction. [Citation Graph (, )][DBLP]

  15. Semi-Markov Models for Sequence Segmentation. [Citation Graph (, )][DBLP]

  16. Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger. [Citation Graph (, )][DBLP]

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