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Nello Cristianini: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tijl De Bie, Michinari Momma, Nello Cristianini
    Efficiently Learning the Metric with Side-Information. [Citation Graph (0, 0)][DBLP]
    ALT, 2003, pp:175-189 [Conf]
  2. John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola
    On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. [Citation Graph (0, 0)][DBLP]
    ALT, 2002, pp:23-40 [Conf]
  3. John Shawe-Taylor, Nello Cristianini
    Further Results on the Margin Distribution. [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:278-285 [Conf]
  4. John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola
    On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2002, pp:12- [Conf]
  5. Nello Cristianini, Colin Campbell, John Shawe-Taylor
    A multiplicative updating algorithm for training support vector machine. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:189-194 [Conf]
  6. John Shawe-Taylor, Nello Cristianini
    Margin Distribution Bounds on Generalization. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1999, pp:263-273 [Conf]
  7. John Shawe-Taylor, Nello Cristianini
    Generalization Performance of Classifiers in Terms of Observed Covering Numbers. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1999, pp:274-284 [Conf]
  8. Colin Campbell, Nello Cristianini, Alex J. Smola
    Query Learning with Large Margin Classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:111-118 [Conf]
  9. Nello Cristianini, John Shawe-Taylor, Huma Lodhi
    Latent Semantic Kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:66-73 [Conf]
  10. Nello Cristianini, John Shawe-Taylor, Peter Sykacek
    Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:109-117 [Conf]
  11. Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell
    The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:188-196 [Conf]
  12. Thorsten Joachims, Nello Cristianini, John Shawe-Taylor
    Composite Kernels for Hypertext Categorisation. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:250-257 [Conf]
  13. 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]
  14. Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor
    Large Margin Trees for Induction and Transduction. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:474-483 [Conf]
  15. Nello Cristianini
    Kernel Methods for Pattern Analysis. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2003, pp:- [Conf]
  16. Tijl De Bie, Nello Cristianini
    Convex Methods for Transduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  17. Nello Cristianini, Colin Campbell, John Shawe-Taylor
    Dynamically Adapting Kernels in Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:204-210 [Conf]
  18. Nello Cristianini, John Shawe-Taylor, André Elisseeff, Jaz S. Kandola
    On Kernel-Target Alignment. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:367-373 [Conf]
  19. Nello Cristianini, John Shawe-Taylor, Jaz S. Kandola
    Spectral Kernel Methods for Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:649-655 [Conf]
  20. Jaz S. Kandola, John Shawe-Taylor, Nello Cristianini
    Learning Semantic Similarity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:657-664 [Conf]
  21. Huma Lodhi, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins
    Text Classification using String Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:563-569 [Conf]
  22. John C. Platt, Nello Cristianini, John Shawe-Taylor
    Large Margin DAGs for Multiclass Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:547-553 [Conf]
  23. John Shawe-Taylor, Nello Cristianini
    Data-Dependent Structural Risk Minimization for Perceptron Decision Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  24. John Shawe-Taylor, Nello Cristianini, Jaz S. Kandola
    On the Concentration of Spectral Properties. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:511-517 [Conf]
  25. Alexei Vinokourov, John Shawe-Taylor, Nello Cristianini
    Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1473-1480 [Conf]
  26. Tijl De Bie, Patrick Monsieurs, Kristof Engelen, Bart De Moor, Nello Cristianini, Kathleen Marchal
    Discovering Transcriptional Modules from Motif, Chip-Chip and Microarray Data. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2005, pp:- [Conf]
  27. 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]
  28. Tijl De Bie, Nello Cristianini
    Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:16-29 [Conf]
  29. Nello Cristianini, Bernhard Schölkopf
    Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2002, v:23, n:3, pp:31-42 [Journal]
  30. Tijl De Bie, Nello Cristianini, Jeffery P. Demuth, Matthew W. Hahn
    CAFE: a computational tool for the study of gene family evolution. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:10, pp:1269-1271 [Journal]
  31. Terrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michèl Schummer, David Haussler
    Support vector machine classification and validation of cancer tissue samples using microarray expression data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2000, v:16, n:10, pp:906-914 [Journal]
  32. 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]
  33. Nello Cristianini, John Shawe-Taylor, Huma Lodhi
    Latent Semantic Kernels. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2002, v:18, n:2-3, pp:127-152 [Journal]
  34. 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]
  35. Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins
    Text Classification using String Kernels. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:2, n:, pp:419-444 [Journal]
  36. Tijl De Bie, Nello Cristianini
    Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1409-1436 [Journal]
  37. Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu
    Enlarging the Margins in Perceptron Decision Trees. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:41, n:3, pp:295-313 [Journal]
  38. Nello Cristianini, Colin Campbell, Chris Burges
    Editorial: Kernel Methods: Current Research and Future Directions. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:46, n:1-3, pp:5-9 [Journal]
  39. John Shawe-Taylor, Nello Cristianini
    On the generalization of soft margin algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2002, v:48, n:10, pp:2721-2735 [Journal]
  40. John Shawe-Taylor, Christopher K. I. Williams, Nello Cristianini, Jaz S. Kandola
    On the eigenspectrum of the gram matrix and the generalization error of kernel-PCA. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:7, pp:2510-2522 [Journal]
  41. Elisa Ricci, Tijl De Bie, Nello Cristianini
    Discriminative Sequence Labeling by Z-Score Optimization. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:274-285 [Conf]
  42. Elisa Ricci, Tijl De Bie, Nello Cristianini
    Learning to Align: A Statistical Approach. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:25-36 [Conf]
  43. Arianna Gallo, Tijl De Bie, Nello Cristianini
    MINI: Mining Informative Non-redundant Itemsets. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:438-445 [Conf]

  44. Terminator Detection by Support Vector Machine Utilizing a Stochastic Context-Free Grammar. [Citation Graph (, )][DBLP]


  45. An Intelligent Agent That Autonomously Learns How to Translate. [Citation Graph (, )][DBLP]


  46. Detecting Macro-patterns in the European Mediasphere. [Citation Graph (, )][DBLP]


  47. Found in Translation. [Citation Graph (, )][DBLP]


  48. Inference and Validation of Networks. [Citation Graph (, )][DBLP]


  49. Are We There Yet?. [Citation Graph (, )][DBLP]


  50. Detecting Events in a Million New York Times Articles. [Citation Graph (, )][DBLP]


  51. Flu Detector - Tracking Epidemics on Twitter. [Citation Graph (, )][DBLP]


  52. Reconstruction of Causal Networks by Set Covering [Citation Graph (, )][DBLP]


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