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Gert R. G. Lanckriet: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan
    Multiple kernel learning, conic duality, and the SMO algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  2. Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan
    Learning the Kernel Matrix with Semi-Definite Programming. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:323-330 [Conf]
  3. Douglas Turnbull, Luke Barrington, Gert R. G. Lanckriet
    Modeling music and words using a multi-class naïve Bayes approach. [Citation Graph (0, 0)][DBLP]
    ISMIR, 2006, pp:254-259 [Conf]
  4. Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan
    Minimax Probability Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:801-807 [Conf]
  5. Gert R. G. Lanckriet, Laurent El Ghaoui, Michael I. Jordan
    Robust Novelty Detection with Single-Class MPM. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:905-912 [Conf]
  6. Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet
    A Direct Formulation for Sparse PCA Using Semidefinite Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  7. Gert R. G. Lanckriet, Minghua Deng, Nello Cristianini, Michael I. Jordan, William Stafford Noble
    Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2004, pp:300-311 [Conf]
  8. Gert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble
    A statistical framework for genomic data fusion. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:16, pp:2626-2635 [Journal]
  9. Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet
    A direct formulation for sparse PCA using semidefinite programming [Citation Graph (0, 0)][DBLP]
    CoRR, 2004, v:0, n:, pp:- [Journal]
  10. Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan
    Learning the Kernel Matrix with Semidefinite Programming. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:27-72 [Journal]
  11. Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan
    A Robust Minimax Approach to Classification. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:555-582 [Journal]
  12. Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle
    Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:5, pp:1115-1147 [Journal]
  13. Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle
    Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:15, n:1, pp:45-58 [Journal]
  14. Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet
    Sparse eigen methods by D.C. programming. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:831-838 [Conf]
  15. Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanckriet
    Direct convex relaxations of sparse SVM. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:145-153 [Conf]
  16. Douglas Turnbull, Luke Barrington, David A. Torres, Gert R. G. Lanckriet
    Towards musical query-by-semantic-description using the CAL500 data set. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2007, pp:439-446 [Conf]

  17. Injective Hilbert Space Embeddings of Probability Measures. [Citation Graph (, )][DBLP]


  18. Metric embedding for kernel classification rules. [Citation Graph (, )][DBLP]


  19. Partial order embedding with multiple kernels. [Citation Graph (, )][DBLP]


  20. Metric Learning to Rank. [Citation Graph (, )][DBLP]


  21. Combining Feature Kernels for Semantic Music Retrieval. [Citation Graph (, )][DBLP]


  22. Five Approaches to Collecting Tags for Music. [Citation Graph (, )][DBLP]


  23. User-centered design of a social game to tag music. [Citation Graph (, )][DBLP]


  24. Learning similarity in heterogeneous data. [Citation Graph (, )][DBLP]


  25. Combining audio content and social context for semantic music discovery. [Citation Graph (, )][DBLP]


  26. Dynamic texture models of music. [Citation Graph (, )][DBLP]


  27. A note on integral probability metrics and $\phi$-divergences [Citation Graph (, )][DBLP]


  28. Learning Multi-modal Similarity [Citation Graph (, )][DBLP]


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