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Ji Zhu:
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Publications of Author
- David Abramson, Amanda Lynch, Hiroshi Takemiya, Yusuke Tanimura, Susumu Date, Haruki Nakamura, Karpjoo Jeong, Suntae Hwang, Ji Zhu, Zhonghua Lu, Céline Amoreira, Kim Baldridge, Hurng-Chun Lee, Chi-Wei Wang, Horng-Liang Shih, Tomas E. Molina, Wilfred W. Li, Peter W. Arzberger
Deploying Scientific Applications to the PRAGMA Grid Testbed: Strategies and Lessons. [Citation Graph (0, 0)][DBLP] CCGRID, 2006, pp:241-248 [Conf]
- Ji Zhu, Ang Guo, Zhonghua Lu, Yongwei Wu, Bin Shen, Xuebin Chi
Analysis of the Bioinformatics Grid Technique Applications in China. [Citation Graph (0, 0)][DBLP] CCGRID, 2006, pp:44- [Conf]
- Ira Pramanick, James Mauro, Ji Zhu
A System Recovery Benchmark for Clusters. [Citation Graph (0, 0)][DBLP] CLUSTER, 2003, pp:387-394 [Conf]
- Ji Zhu, James Mauro, Ira Pramanick
Robustness Benchmarking for Hardware Maintenance Events. [Citation Graph (0, 0)][DBLP] DSN, 2003, pp:115-122 [Conf]
- Dong Tang, Ji Zhu, Roy Andrada
Automatic Generation of Availability Models in RAScad. [Citation Graph (0, 0)][DBLP] DSN, 2002, pp:488-494 [Conf]
- Li Wang, Michael D. Gordon, Ji Zhu
Regularized Least Absolute Deviations Regression and an Efficient Algorithm for Parameter Tuning. [Citation Graph (0, 0)][DBLP] ICDM, 2006, pp:690-700 [Conf]
- Zhili Wu, Chun-hung Li, Ji Zhu, Jian Huang
A Semi-supervised SVM for Manifold Learning. [Citation Graph (0, 0)][DBLP] ICPR (2), 2006, pp:490-493 [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]
- Lacey Gunter, Ji Zhu
Computing the Solution Path for the Regularized Support Vector Regression. [Citation Graph (0, 0)][DBLP] NIPS, 2005, pp:- [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]
- 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]
- James Mauro, Ji Zhu, Ira Pramanick
The System Recovery Benchmark. [Citation Graph (0, 0)][DBLP] PRDC, 2004, pp:271-280 [Conf]
- 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]
- Lacey Gunter, Ji Zhu, Susan Murphy
Variable Selection for Optimal Decision Making. [Citation Graph (0, 0)][DBLP] AIME, 2007, pp:149-154 [Conf]
- Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu
l1 Regularization in Infinite Dimensional Feature Spaces. [Citation Graph (0, 0)][DBLP] COLT, 2007, pp:544-558 [Conf]
- Li Wang, Ji Zhu, Hui Zou
Hybrid huberized support vector machines for microarray classification. [Citation Graph (0, 0)][DBLP] ICML, 2007, pp:983-990 [Conf]
- Sijian Wang, Ji Zhu
Improved centroids estimation for the nearest shrunken centroid classifier. [Citation Graph (0, 0)][DBLP] Bioinformatics, 2007, v:23, n:8, pp:972-979 [Journal]
Boosting and support vector machines as optimal separators. [Citation Graph (, )][DBLP]
Pathway Detection Based on Hierarchical LASSO Regression Model. [Citation Graph (, )][DBLP]
Analysis of array CGH data for cancer studies using fused quantile regression. [Citation Graph (, )][DBLP]
Hybrid huberized support vector machines for microarray classification and gene selection. [Citation Graph (, )][DBLP]
REMAS: a new regression model to identify alternative splicing events from exon array data. [Citation Graph (, )][DBLP]
The Missing Piece Syndrome in Peer-to-Peer Communication [Citation Graph (, )][DBLP]
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