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Trevor Hastie: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Trevor Hastie, Robert Tibshirani
    Discriminant Adaptive Nearest Neighbor Classification. [Citation Graph (1, 0)][DBLP]
    KDD, 1995, pp:142-149 [Conf]
  2. Philip Beineke, Trevor Hastie, Shivakumar Vaithyanathan
    The Sentimental Factor: Improving Review Classification Via Human-Provided Information. [Citation Graph (0, 0)][DBLP]
    ACL, 2004, pp:263-270 [Conf]
  3. Ping Li, Trevor Hastie, Kenneth Ward Church
    Improving Random Projections Using Marginal Information. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:635-649 [Conf]
  4. Eyal Kishon, Trevor Hastie, Haim J. Wolfson
    3-D Curve Matching Using Splines. [Citation Graph (0, 0)][DBLP]
    ECCV, 1990, pp:589-591 [Conf]
  5. Ping Li, Trevor Hastie, Kenneth Ward Church
    Very sparse random projections. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:287-296 [Conf]
  6. Y. Dan Rubinstein, Trevor Hastie
    Discriminative vs Informative Learning. [Citation Graph (0, 0)][DBLP]
    KDD, 1997, pp:49-53 [Conf]
  7. Ji Zhu, Trevor Hastie
    Support Vector Machines, Kernel Logistic Regression and Boosting. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:16-26 [Conf]
  8. Trevor Hastie, Robert Tibshirani
    Independent Components Analysis through Product Density Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:649-656 [Conf]
  9. Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu
    The Entire Regularization Path for the Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  10. Trevor Hastie, Patrice Simard
    Learning Prototype Models for Tangent Distance. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:999-1006 [Conf]
  11. Trevor Hastie, Robert Tibshirani
    Discriminant Adaptive Nearest Neighbor Classification and Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:409-415 [Conf]
  12. Trevor Hastie, Robert Tibshirani
    Classification by Pairwise Coupling. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  13. Gareth James, Trevor Hastie
    The Error Coding and Substitution PaCTs. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  14. Dirk Ormoneit, Trevor Hastie
    Optimal Kernel Shapes for Local Linear Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:540-546 [Conf]
  15. Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, Trevor Hastie
    Learning and Tracking Cyclic Human Motion. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:894-900 [Conf]
  16. Saharon Rosset, Ji Zhu, Trevor Hastie
    Margin Maximizing Loss Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  17. Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie
    A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  18. Ji Zhu, Trevor Hastie
    Kernel Logistic Regression and the Import Vector Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1081-1088 [Conf]
  19. Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibshirani
    1-norm Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  20. Thomas D. Wu, Trevor Hastie, Scott C. Schmidler, Douglas L. Brutlag
    Regression analysis of multiple protein structures. [Citation Graph (0, 0)][DBLP]
    RECOMB, 1998, pp:276-284 [Conf]
  21. Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan, Scott Soltys, Gongyi Shi, Albert Koong, Quynh-Thu Le
    Sample classification from protein mass spectrometry, by 'peak probability contrasts'. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:17, pp:3034-3044 [Journal]
  22. Olga G. Troyanskaya, Michael Cantor, Gavin Sherlock, Patrick O. Brown, Trevor Hastie, Robert Tibshirani, David Botstein, Russ B. Altman
    Missing value estimation methods for DNA microarrays. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:6, pp:520-525 [Journal]
  23. Winston Nelson, William Turin, Trevor Hastie
    Statistical Methods for On-Line Signature Verification. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1994, v:8, n:3, pp:749-770 [Journal]
  24. Dirk Ormoneit, Michael J. Black, Trevor Hastie, Hedvig Kjellström
    Representing cyclic human motion using functional analysis. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2005, v:23, n:14, pp:1264-1276 [Journal]
  25. Thomas D. Wu, Scott C. Schmidler, Trevor Hastie, Douglas L. Brutlag
    Regression Analysis of Multiple Protein Structures. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 1998, v:5, n:3, pp:585-596 [Journal]
  26. Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu
    The Entire Regularization Path for the Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:1391-1415 [Journal]
  27. Saharon Rosset, Ji Zhu, Trevor Hastie
    Boosting as a Regularized Path to a Maximum Margin Classifier. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:941-973 [Journal]
  28. Trevor Hastie, Robert Tibshirani, Jerome Friedman
    Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:7, pp:1477-1480 [Journal]
  29. Trevor Hastie, Robert Tibshirani
    Discriminant Adaptive Nearest Neighbor Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1996, v:18, n:6, pp:607-616 [Journal]
  30. Ping Li, Trevor Hastie, Kenneth Ward Church
    Nonlinear Estimators and Tail Bounds for Dimension Reduction in l 1 Using Cauchy Random Projections. [Citation Graph (0, 0)][DBLP]
    COLT, 2007, pp:514-529 [Conf]
  31. Ping Li, Kenneth Ward Church, Trevor Hastie
    Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:873-880 [Conf]
  32. Ping Li, Trevor Hastie, Kenneth Ward Church
    Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_1$ Using Cauchy Random Projections [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]

  33. Regularization paths and coordinate descent. [Citation Graph (, )][DBLP]


  34. A Unified Near-Optimal Estimator For Dimension Reduction in lalpha(0 < alpha <= 2) Using Stable Random Projections. [Citation Graph (, )][DBLP]


  35. One sketch for all: Theory and Application of Conditional Random Sampling. [Citation Graph (, )][DBLP]


  36. Boosting and support vector machines as optimal separators. [Citation Graph (, )][DBLP]


  37. Genome-wide association analysis by lasso penalized logistic regression. [Citation Graph (, )][DBLP]


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