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Sayan Mukherjee: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Massimiliano Pontil, Sayan Mukherjee, Federico Girosi
    On the Noise Model of Support Vector Machines Regression. [Citation Graph (0, 0)][DBLP]
    ALT, 2000, pp:316-324 [Conf]
  2. Polina Golland, Feng Liang, Sayan Mukherjee, Dmitry Panchenko
    Permutation Tests for Classification. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:501-515 [Conf]
  3. Leonid Peshkin, Sayan Mukherjee
    Bounds on Sample Size for Policy Evaluation in Markov Environments. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:616-630 [Conf]
  4. Bernd Heisele, Thomas Serre, Sayan Mukherjee, Tomaso Poggio
    Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2001, pp:18-24 [Conf]
  5. Elena Edelman, Alessandro Porrello, Justin Guinney, Bala Balakumaran, Andrea Bild, Phillip G. Febbo, Sayan Mukherjee
    Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:122-116 [Conf]
  6. Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo, Sayan Mukherjee, Ryan M. Rifkin, Michael Angelo, Michael Reich, Eric S. Lander, Jill P. Mesirov, Todd R. Golub
    Molecular classification of multiple tumor types. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2001, pp:316-322 [Conf]
  7. Javid Sadr, Sayan Mukherjee, K. Thoresz, Pawan Sinha
    The Fidelity of Local Ordinal Encoding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1279-1286 [Conf]
  8. Vladimir Vapnik, Sayan Mukherjee
    Support Vector Method for Multivariate Density Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:659-665 [Conf]
  9. Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik
    Feature Selection for SVMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:668-674 [Conf]
  10. Neelanjan Mukherjee, Sayan Mukherjee
    Predicting Signal Peptides with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    SVM, 2002, pp:1-7 [Conf]
  11. Sayan Mukherjee, Partha Niyogi, Tomaso Poggio, Ryan M. Rifkin
    Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization. [Citation Graph (0, 0)][DBLP]
    Adv. Comput. Math., 2006, v:25, n:1-3, pp:161-193 [Journal]
  12. Leonid Peshkin, Sayan Mukherjee
    Bounds on sample size for policy evaluation in Markov environments [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  13. Sayan Mukherjee, Pablo Tamayo, Simon Rogers, Ryan M. Rifkin, Anna Engle, Colin Campbell, Todd R. Golub, Jill P. Mesirov
    Estimating Dataset Size Requirements for Classifying DNA Microarray Data. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2003, v:10, n:2, pp:119-142 [Journal]
  14. Sayan Mukherjee, Qiang Wu
    Estimation of Gradients and Coordinate Covariation in Classification. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:2481-2514 [Journal]
  15. Sayan Mukherjee, Ding-Xuan Zhou
    Learning Coordinate Covariances via Gradients. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:519-549 [Journal]
  16. Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee
    Choosing Multiple Parameters for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:46, n:1-3, pp:131-159 [Journal]

  17. Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women. [Citation Graph (, )][DBLP]

  18. Statistical Assessment of MSigDB Gene Sets in Colon Cancer. [Citation Graph (, )][DBLP]

  19. Localized Sliced Inverse Regression. [Citation Graph (, )][DBLP]

  20. Comparative study of gene set enrichment methods. [Citation Graph (, )][DBLP]

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