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Claudio Gentile: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Peter Auer, Claudio Gentile
    Adaptive and Self-Confident On-Line Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:107-117 [Conf]
  2. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
    A Second-Order Perceptron Algorithm. [Citation Graph (0, 0)][DBLP]
    COLT, 2002, pp:121-137 [Conf]
  3. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
    Learning Probabilistic Linear-Threshold Classifiers via Selective Sampling. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:373-387 [Conf]
  4. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
    Regret Bounds for Hierarchical Classification with Linear-Threshold Functions. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:93-108 [Conf]
  5. Nicolò Cesa-Bianchi, Claudio Gentile
    Tracking the Best Hyperplane with a Simple Budget Perceptron. [Citation Graph (0, 0)][DBLP]
    COLT, 2006, pp:483-498 [Conf]
  6. Claudio Gentile, David P. Helmbold
    Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach. [Citation Graph (0, 0)][DBLP]
    COLT, 1998, pp:104-115 [Conf]
  7. Claudio Gentile, Nick Littlestone
    The Robustness of the p-Norm Algorithms. [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:1-11 [Conf]
  8. Claudio Gentile, Utz-Uwe Haus, Matthias Köppe, Giovanni Rinaldi, Robert Weismantel
    A Primal Approach to the Stable Set Problem. [Citation Graph (0, 0)][DBLP]
    ESA, 2002, pp:525-537 [Conf]
  9. Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni
    Hierarchical classification: combining Bayes with SVM. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:177-184 [Conf]
  10. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
    On the Generalization Ability of On-Line Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:359-366 [Conf]
  11. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
    Margin-Based Algorithms for Information Filtering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:470-477 [Conf]
  12. Nicolò Cesa-Bianchi, Claudio Gentile, Andrea Tironi, Luca Zaniboni
    Incremental Algorithms for Hierarchical Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  13. Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni
    Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  14. Nicolò Cesa-Bianchi, Claudio Gentile
    Improved risk tail bounds for on-line algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  15. Claudio Gentile
    A New Approximate Maximal Margin Classification Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:500-506 [Conf]
  16. Claudio Gentile
    Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  17. Claudio Gentile, Manfred K. Warmuth
    Linear Hinge Loss and Average Margin. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:225-231 [Conf]
  18. Nicola Cancedda, Cyril Goutte, Jean-Michel Renders, Nicolò Cesa-Bianchi, Alex Conconi, Yaoyong Li, John Shawe-Taylor, Alexei Vinokourov, Thore Graepel, Claudio Gentile
    Kernel Methods for Document Filtering. [Citation Graph (0, 0)][DBLP]
    TREC, 2002, pp:- [Conf]
  19. Giovanni Felici, Claudio Gentile
    Zero-Lifting for Integer Block Structured Problems. [Citation Graph (0, 0)][DBLP]
    J. Comb. Optim., 2003, v:7, n:2, pp:161-167 [Journal]
  20. Peter Auer, Nicolò Cesa-Bianchi, Claudio Gentile
    Adaptive and Self-Confident On-Line Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2002, v:64, n:1, pp:48-75 [Journal]
  21. Claudio Gentile
    A New Approximate Maximal Margin Classification Algorithm. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:213-242 [Journal]
  22. Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni
    Worst-Case Analysis of Selective Sampling for Linear Classification. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1205-1230 [Journal]
  23. Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni
    Incremental Algorithms for Hierarchical Classification. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:31-54 [Journal]
  24. Claudio Gentile
    Guest Editor's Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:51, n:3, pp:215-216 [Journal]
  25. Claudio Gentile
    The Robustness of the p-Norm Algorithms. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:53, n:3, pp:265-299 [Journal]
  26. Antonio Frangioni, Claudio Gentile
    Perspective cuts for a class of convex 0-1 mixed integer programs. [Citation Graph (0, 0)][DBLP]
    Math. Program., 2006, v:106, n:2, pp:225-236 [Journal]
  27. Giorgio Gallo, Claudio Gentile, Daniele Pretolani, Gabriella Rago
    Max Horn SAT and the minimum cut problem in directed hypergraphs. [Citation Graph (0, 0)][DBLP]
    Math. Program., 1998, v:80, n:, pp:213-237 [Journal]
  28. Antonio Frangioni, Claudio Gentile
    SDP diagonalizations and perspective cuts for a class of nonseparable MIQP. [Citation Graph (0, 0)][DBLP]
    Oper. Res. Lett., 2007, v:35, n:2, pp:181-185 [Journal]
  29. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
    A Second-Order Perceptron Algorithm. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 2005, v:34, n:3, pp:640-668 [Journal]
  30. Bruno Apolloni, Claudio Gentile
    P-Sufficient Statistics for PAC Learning k-term-DNF Formulas through Enumeration. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2000, v:230, n:1-2, pp:1-37 [Journal]
  31. Bruno Apolloni, Claudio Gentile
    Sample Size Lower Bounds in PAC Learning by Algorithmic Complexity Theory. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1998, v:209, n:1-2, pp:141-162 [Journal]
  32. Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile
    On the Generalization Ability of On-Line Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2004, v:50, n:9, pp:2050-2057 [Journal]

  33. Learning Unknown Graphs. [Citation Graph (, )][DBLP]


  34. Linear Algorithms for Online Multitask Classification. [Citation Graph (, )][DBLP]


  35. Robust bounds for classification via selective sampling. [Citation Graph (, )][DBLP]


  36. Random Spanning Trees and the Prediction of Weighted Graphs. [Citation Graph (, )][DBLP]


  37. On higher-order perceptron algorithms. [Citation Graph (, )][DBLP]


  38. Linear Classification and Selective Sampling Under Low Noise Conditions. [Citation Graph (, )][DBLP]


  39. On the Stable Set Polytope of Claw-Free Graphs. [Citation Graph (, )][DBLP]


  40. The k-Gear Composition and the Stable Set Polytope. [Citation Graph (, )][DBLP]


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