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Massimiliano Pontil: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Theodoros Evgeniou, Massimiliano Pontil
    Support Vector Machines: Theory and Applications. [Citation Graph (0, 0)][DBLP]
    Machine Learning and Its Applications, 2001, pp:249-257 [Conf]
  2. Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli
    A New Machine Learning Approach to Fingerprint Classification. [Citation Graph (0, 0)][DBLP]
    AI*IA, 2001, pp:57-63 [Conf]
  3. Theodoros Evgeniou, Massimiliano Pontil
    A Note on the Generalization Performance of Kernel Classifiers with Margin. [Citation Graph (0, 0)][DBLP]
    ALT, 2000, pp:306-315 [Conf]
  4. Theodoros Evgeniou, Massimiliano Pontil
    On the Vgamma Dimension for Regression in Reproducing Kernel Hilbert Spaces. [Citation Graph (0, 0)][DBLP]
    ATL, 1999, pp:106-117 [Conf]
  5. 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]
  6. Ryan M. Rifkin, Massimiliano Pontil, Alessandro Verri
    A Note on Support Vector Machine Degeneracy. [Citation Graph (0, 0)][DBLP]
    ATL, 1999, pp:252-263 [Conf]
  7. Yuan Yao, Paolo Frasconi, Massimiliano Pontil
    Fingerprint Classification with Combinations of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    AVBPA, 2001, pp:253-258 [Conf]
  8. Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
    Learning Convex Combinations of Continuously Parameterized Basic Kernels. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:338-352 [Conf]
  9. Charles A. Micchelli, Massimiliano Pontil
    A Function Representation for Learning in Banach Spaces. [Citation Graph (0, 0)][DBLP]
    COLT, 2004, pp:255-269 [Conf]
  10. Bernd Heisele, Thomas Serre, Massimiliano Pontil, Tomaso Poggio
    Component-based Face Detection. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2001, pp:657-662 [Conf]
  11. Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
    A Simple Algorithm for Learning Stable Machines. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:513-517 [Conf]
  12. Andrea Passerini, Massimiliano Pontil, Paolo Frasconi
    From Margins to Probabilities in Multiclass Learning Problems. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:400-404 [Conf]
  13. Massimiliano Pontil, Stefano Rogai, Alessandro Verri
    Recognizing 3-D Objects with Linear Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 1998, pp:469-483 [Conf]
  14. N. Barabino, M. Pallavicini, A. Petrolini, Massimiliano Pontil, Alessandro Verri
    Support vector machines vs multi-layer perceptrons in particle identification. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:257-262 [Conf]
  15. Massimiliano Pontil
    Reproducing kernels and regularization methods in machine learning. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:185-196 [Conf]
  16. Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou
    From regression to classification in support vector machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:225-230 [Conf]
  17. Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari
    On different ensembles of kernel machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:197-201 [Conf]
  18. Massimiliano Pontil, Alessandro Verri
    Direct Aspect-Based 3D Object Recognition. [Citation Graph (0, 0)][DBLP]
    ICIAP (2), 1997, pp:300-307 [Conf]
  19. Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil
    A DC-programming algorithm for kernel selection. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:41-48 [Conf]
  20. Theodoros Evgeniou, Luis Pérez-Breva, Massimiliano Pontil, Tomaso Poggio
    Bounds on the Generalization Performance of Kernel Machine Ensembles. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:271-278 [Conf]
  21. Mark Herbster, Massimiliano Pontil, Lisa Wainer
    Online learning over graphs. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:305-312 [Conf]
  22. Chikahito Nakajima, Norihiko Itoh, Massimiliano Pontil, Tomaso Poggio
    Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:4787-4790 [Conf]
  23. Chikahito Nakajima, Massimiliano Pontil, Tomaso Poggio
    People Recognition and Pose Estimation in Image Sequences. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:189-196 [Conf]
  24. Theodoros Evgeniou, Massimiliano Pontil
    Regularized multi--task learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:109-117 [Conf]
  25. Andreas Argyriou, Mark Herbster, Massimiliano Pontil
    Combining Graph Laplacians for Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  26. Bernd Heisele, Thomas Serre, Massimiliano Pontil, Thomas Vetter, Tomaso Poggio
    Categorization by Learning and Combining Object Parts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1239-1245 [Conf]
  27. Charles A. Micchelli, Massimiliano Pontil
    Kernels for Multi--task Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  28. 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]
  29. Theodoros Evgeniou, Massimiliano Pontil
    Support Vector Machines with Clustering for Training with Very Large Datasets. [Citation Graph (0, 0)][DBLP]
    SETN, 2002, pp:346-354 [Conf]
  30. Chikahito Nakajima, Massimiliano Pontil
    Maintenance Training of Electric Power Facilities Using Object Recognition by SVM. [Citation Graph (0, 0)][DBLP]
    SVM, 2002, pp:112-119 [Conf]
  31. Massimiliano Pontil
    A Short Review of Statistical Learning Theory. [Citation Graph (0, 0)][DBLP]
    WIRN, 2002, pp:233-242 [Conf]
  32. Theodoros Evgeniou, Massimiliano Pontil
    Learning Preference Relations from Data. [Citation Graph (0, 0)][DBLP]
    WIRN, 2002, pp:23-34 [Conf]
  33. Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio
    Statistical Learning Theory: A Primer. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2000, v:38, n:1, pp:9-13 [Journal]
  34. Massimiliano Pontil
    A note on different covering numbers in learning theory. [Citation Graph (0, 0)][DBLP]
    J. Complexity, 2003, v:19, n:5, pp:665-671 [Journal]
  35. Charles A. Micchelli, Massimiliano Pontil
    Learning the Kernel Function via Regularization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1099-1125 [Journal]
  36. André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
    Stability of Randomized Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:55-79 [Journal]
  37. Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil
    Learning Multiple Tasks with Kernel Methods. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:615-637 [Journal]
  38. Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff
    Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:55, n:1, pp:71-97 [Journal]
  39. Charles A. Micchelli, Massimiliano Pontil
    On Learning Vector-Valued Functions. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:1, pp:177-204 [Journal]
  40. Massimiliano Pontil, Alessandro Verri
    Properties of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:4, pp:955-974 [Journal]
  41. Massimiliano Pontil, Alessandro Verri
    Support Vector Machines for 3D Object Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:6, pp:637-646 [Journal]
  42. Chikahito Nakajima, Massimiliano Pontil, Bernd Heisele, Tomaso Poggio
    Full-body person recognition system. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:9, pp:1997-2006 [Journal]
  43. Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli
    Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:2, pp:397-406 [Journal]
  44. Sauro Menchetti, Fabrizio Costa, Paolo Frasconi, Massimiliano Pontil
    Wide coverage natural language processing using kernel methods and neural networks for structured data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:12, pp:1896-1906 [Journal]
  45. Theodoros Evgeniou, Massimiliano Pontil, Constantine Papageorgiou, Tomaso Poggio
    Image Representations and Feature Selection for Multimedia Database Search. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2003, v:15, n:4, pp:911-920 [Journal]
  46. Mark Herbster, Massimiliano Pontil
    Prediction on a Graph with a Perceptron. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:577-584 [Conf]
  47. Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil
    Multi-Task Feature Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:41-48 [Conf]
  48. Charles A. Micchelli, Massimiliano Pontil
    Feature space perspectives for learning the kernel. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:66, n:2-3, pp:297-319 [Journal]

  49. A Uniform Lower Error Bound for Half-Space Learning. [Citation Graph (, )][DBLP]


  50. Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces. [Citation Graph (, )][DBLP]


  51. A Spectral Regularization Framework for Multi-Task Structure Learning. [Citation Graph (, )][DBLP]


  52. Fast Prediction on a Tree. [Citation Graph (, )][DBLP]


  53. Online Prediction on Large Diameter Graphs. [Citation Graph (, )][DBLP]


  54. An Algorithm for Transfer Learning in a Heterogeneous Environment. [Citation Graph (, )][DBLP]


  55. Regularization Networks and Support Vector Machines. [Citation Graph (, )][DBLP]


  56. Entropy conditions for L r -convergence of empirical processes. [Citation Graph (, )][DBLP]


  57. Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods. [Citation Graph (, )][DBLP]


  58. When is there a representer theorem? Vector versus matrix regularizers [Citation Graph (, )][DBLP]


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