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Trevor Hastie:
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Publications of Author
- Trevor Hastie, Robert Tibshirani
Discriminant Adaptive Nearest Neighbor Classification. [Citation Graph (1, 0)][DBLP] KDD, 1995, pp:142-149 [Conf]
- 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]
- Ping Li, Trevor Hastie, Kenneth Ward Church
Improving Random Projections Using Marginal Information. [Citation Graph (0, 0)][DBLP] COLT, 2006, pp:635-649 [Conf]
- Eyal Kishon, Trevor Hastie, Haim J. Wolfson
3-D Curve Matching Using Splines. [Citation Graph (0, 0)][DBLP] ECCV, 1990, pp:589-591 [Conf]
- Ping Li, Trevor Hastie, Kenneth Ward Church
Very sparse random projections. [Citation Graph (0, 0)][DBLP] KDD, 2006, pp:287-296 [Conf]
- Y. Dan Rubinstein, Trevor Hastie
Discriminative vs Informative Learning. [Citation Graph (0, 0)][DBLP] KDD, 1997, pp:49-53 [Conf]
- 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]
- Trevor Hastie, Robert Tibshirani
Independent Components Analysis through Product Density Estimation. [Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:649-656 [Conf]
- 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]
- Trevor Hastie, Patrice Simard
Learning Prototype Models for Tangent Distance. [Citation Graph (0, 0)][DBLP] NIPS, 1994, pp:999-1006 [Conf]
- Trevor Hastie, Robert Tibshirani
Discriminant Adaptive Nearest Neighbor Classification and Regression. [Citation Graph (0, 0)][DBLP] NIPS, 1995, pp:409-415 [Conf]
- Trevor Hastie, Robert Tibshirani
Classification by Pairwise Coupling. [Citation Graph (0, 0)][DBLP] NIPS, 1997, pp:- [Conf]
- Gareth James, Trevor Hastie
The Error Coding and Substitution PaCTs. [Citation Graph (0, 0)][DBLP] NIPS, 1997, pp:- [Conf]
- Dirk Ormoneit, Trevor Hastie
Optimal Kernel Shapes for Local Linear Regression. [Citation Graph (0, 0)][DBLP] NIPS, 1999, pp:540-546 [Conf]
- 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]
- Saharon Rosset, Ji Zhu, Trevor Hastie
Margin Maximizing Loss Functions. [Citation Graph (0, 0)][DBLP] NIPS, 2003, pp:- [Conf]
- 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]
- Ji Zhu, Trevor Hastie
Kernel Logistic Regression and the Import Vector Machine. [Citation Graph (0, 0)][DBLP] NIPS, 2001, pp:1081-1088 [Conf]
- Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibshirani
1-norm Support Vector Machines. [Citation Graph (0, 0)][DBLP] NIPS, 2003, pp:- [Conf]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
Regularization paths and coordinate descent. [Citation Graph (, )][DBLP]
A Unified Near-Optimal Estimator For Dimension Reduction in lalpha(0 < alpha <= 2) Using Stable Random Projections. [Citation Graph (, )][DBLP]
One sketch for all: Theory and Application of Conditional Random Sampling. [Citation Graph (, )][DBLP]
Boosting and support vector machines as optimal separators. [Citation Graph (, )][DBLP]
Genome-wide association analysis by lasso penalized logistic regression. [Citation Graph (, )][DBLP]
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