Massimiliano Pontil

	2009
59		Andrea Caponnetto, Ernesto De Vito, Massimiliano Pontil: Entropy conditions for L r -convergence of empirical processes. Adv. Comput. Math. 30(4): 355-373 (2009)
	2008
58		Andreas Maurer, Massimiliano Pontil: A Uniform Lower Error Bound for Half-Space Learning. ALT 2008: 70-78
57		Andreas Maurer, Massimiliano Pontil: Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces. ALT 2008: 79-91
56		Andreas Argyriou, Andreas Maurer, Massimiliano Pontil: An Algorithm for Transfer Learning in a Heterogeneous Environment. ECML/PKDD (1) 2008: 71-85
55		Mark Herbster, Guy Lever, Massimiliano Pontil: Online Prediction on Large Diameter Graphs. NIPS 2008: 649-656
54		Mark Herbster, Massimiliano Pontil, Sergio Rojas Galeano: Fast Prediction on a Tree. NIPS 2008: 657-664
53		Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil: When is there a representer theorem? Vector versus matrix regularizers CoRR abs/0809.1590: (2008)
52		Yiming Ying, Massimiliano Pontil: Online Gradient Descent Learning Algorithms. Foundations of Computational Mathematics 8(5): 561-596 (2008)
51		Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil: Convex multi-task feature learning. Machine Learning 73(3): 243-272 (2008)
	2007
50		Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Yiming Ying: A Spectral Regularization Framework for Multi-Task Structure Learning. NIPS 2007
49		Charles A. Micchelli, Massimiliano Pontil: Feature space perspectives for learning the kernel. Machine Learning 66(2-3): 297-319 (2007)
	2006
48		Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil: A DC-programming algorithm for kernel selection. ICML 2006: 41-48
47		Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil: Multi-Task Feature Learning. NIPS 2006: 41-48
46		Mark Herbster, Massimiliano Pontil: Prediction on a Graph with a Perceptron. NIPS 2006: 577-584
	2005
45		Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil: Learning Convex Combinations of Continuously Parameterized Basic Kernels. COLT 2005: 338-352
44		Mark Herbster, Massimiliano Pontil, Lisa Wainer: Online learning over graphs. ICML 2005: 305-312
43		Andreas Argyriou, Mark Herbster, Massimiliano Pontil: Combining Graph Laplacians for Semi-Supervised Learning. NIPS 2005
42		Charles A. Micchelli, Massimiliano Pontil: Learning the Kernel Function via Regularization. Journal of Machine Learning Research 6: 1099-1125 (2005)
41		André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil: Stability of Randomized Learning Algorithms. Journal of Machine Learning Research 6: 55-79 (2005)
40		Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil: Learning Multiple Tasks with Kernel Methods. Journal of Machine Learning Research 6: 615-637 (2005)
39		Charles A. Micchelli, Massimiliano Pontil: On Learning Vector-Valued Functions. Neural Computation 17(1): 177-204 (2005)
38		Sauro Menchetti, Fabrizio Costa, Paolo Frasconi, Massimiliano Pontil: Wide coverage natural language processing using kernel methods and neural networks for structured data. Pattern Recognition Letters 26(12): 1896-1906 (2005)
	2004
37		Charles A. Micchelli, Massimiliano Pontil: A Function Representation for Learning in Banach Spaces. COLT 2004: 255-269
36		Theodoros Evgeniou, Massimiliano Pontil: Regularized multi--task learning. KDD 2004: 109-117
35		Charles A. Micchelli, Massimiliano Pontil: Kernels for Multi--task Learning. NIPS 2004
34		Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff: Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers. Machine Learning 55(1): 71-97 (2004)
	2003
33		Massimiliano Pontil: Reproducing kernels and regularization methods in machine learning. ESANN 2003: 185-196
32		Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari: On different ensembles of kernel machines. ESANN 2003: 197-201
31		Theodoros Evgeniou, Massimiliano Pontil, Constantine Papageorgiou, Tomaso Poggio: Image Representations and Feature Selection for Multimedia Database Search. IEEE Trans. Knowl. Data Eng. 15(4): 911-920 (2003)
30		Massimiliano Pontil: A note on different covering numbers in learning theory. J. Complexity 19(5): 665-671 (2003)
29		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. Pattern Recognition 36(2): 397-406 (2003)
28		Chikahito Nakajima, Massimiliano Pontil, Bernd Heisele, Tomaso Poggio: Full-body person recognition system. Pattern Recognition 36(9): 1997-2006 (2003)
	2002
27		Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: From Margins to Probabilities in Multiclass Learning Problems. ECAI 2002: 400-404
26		Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil: A Simple Algorithm for Learning Stable Machines. ECAI 2002: 513-517
25		Theodoros Evgeniou, Massimiliano Pontil: Support Vector Machines with Clustering for Training with Very Large Datasets. SETN 2002: 346-354
24		Chikahito Nakajima, Massimiliano Pontil: Maintenance Training of Electric Power Facilities Using Object Recognition by SVM. SVM 2002: 112-119
23		Theodoros Evgeniou, Massimiliano Pontil: Learning Preference Relations from Data. WIRN 2002: 23-34
22		Massimiliano Pontil: A Short Review of Statistical Learning Theory. WIRN 2002: 233-242
	2001
21		Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: A New Machine Learning Approach to Fingerprint Classification. AI*IA 2001: 57-63
20		Yuan Yao, Paolo Frasconi, Massimiliano Pontil: Fingerprint Classification with Combinations of Support Vector Machines. AVBPA 2001: 253-258
19		Bernd Heisele, Thomas Serre, Massimiliano Pontil, Tomaso Poggio: Component-based Face Detection. CVPR (1) 2001: 657-662
18		Theodoros Evgeniou, Massimiliano Pontil: Support Vector Machines: Theory and Applications. Machine Learning and Its Applications 2001: 249-257
17		Bernd Heisele, Thomas Serre, Massimiliano Pontil, Thomas Vetter, Tomaso Poggio: Categorization by Learning and Combining Object Parts. NIPS 2001: 1239-1245
	2000
16		Theodoros Evgeniou, Massimiliano Pontil: A Note on the Generalization Performance of Kernel Classifiers with Margin. ALT 2000: 306-315
15		Massimiliano Pontil, Sayan Mukherjee, Federico Girosi: On the Noise Model of Support Vector Machines Regression. ALT 2000: 316-324
14		Theodoros Evgeniou, Luis Pérez-Breva, Massimiliano Pontil, Tomaso Poggio: Bounds on the Generalization Performance of Kernel Machine Ensembles. ICML 2000: 271-278
13		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. ICPR 2000: 4787-4790
12		Chikahito Nakajima, Massimiliano Pontil, Tomaso Poggio: People Recognition and Pose Estimation in Image Sequences. IJCNN (4) 2000: 189-196
11		Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik: Feature Selection for SVMs. NIPS 2000: 668-674
10		Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio: Regularization Networks and Support Vector Machines. Adv. Comput. Math. 13(1): 1-50 (2000)
9		Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio: Statistical Learning Theory: A Primer. International Journal of Computer Vision 38(1): 9-13 (2000)
	1999
8		Theodoros Evgeniou, Massimiliano Pontil: On the Vgamma Dimension for Regression in Reproducing Kernel Hilbert Spaces. ATL 1999: 106-117
7		Ryan M. Rifkin, Massimiliano Pontil, Alessandro Verri: A Note on Support Vector Machine Degeneracy. ATL 1999: 252-263
6		Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou: From regression to classification in support vector machines. ESANN 1999: 225-230
5		N. Barabino, M. Pallavicini, A. Petrolini, Massimiliano Pontil, Alessandro Verri: Support vector machines vs multi-layer perceptrons in particle identification. ESANN 1999: 257-262
	1998
4		Massimiliano Pontil, Stefano Rogai, Alessandro Verri: Recognizing 3-D Objects with Linear Support Vector Machines. ECCV (2) 1998: 469-483
3		Massimiliano Pontil, Alessandro Verri: Support Vector Machines for 3D Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 20(6): 637-646 (1998)
2		Massimiliano Pontil, Alessandro Verri: Properties of Support Vector Machines. Neural Computation 10(4): 955-974 (1998)
	1997
1		Massimiliano Pontil, Alessandro Verri: Direct Aspect-Based 3D Object Recognition. ICIAP (2) 1997: 300-307

Coauthor Index

1	Shun-ichi Amari	[32]
2	Savina Andonova	[26]
3	Andreas Argyriou	[43] [45] [47] [48] [50] [51] [53] [56]
4	N. Barabino	[5]
5	Andrea Caponnetto	[59]
6	Olivier Chapelle	[11]
7	Fabrizio Costa	[38]
8	André Elisseeff	[26] [34] [41]
9	Theodoros Evgeniou	[6] [8] [9] [10] [14] [16] [18] [23] [25] [26] [31] [34] [36] [40] [41] [47] [51]
10	Paolo Frasconi	[20] [21] [27] [29] [38]
11	Sergio Rojas Galeano	[54]
12	Federico Girosi	[15]
13	Raphael Hauser	[48]
14	Bernd Heisele	[17] [19] [28]
15	Mark Herbster	[43] [44] [46] [54] [55]
16	Norihiko Itoh	[13]
17	Guy Lever	[55]
18	Gian Luca Marcialis	[21] [29]
19	Andreas Maurer	[56] [57] [58]
20	Sauro Menchetti	[38]
21	Charles A. Micchelli	[35] [37] [39] [40] [42] [45] [48] [49] [50] [53]
22	Sayan Mukherjee	[11] [15]
23	Hiroyuki Nakahara	[32]
24	Chikahito Nakajima	[12] [13] [24] [28]
25	M. Pallavicini	[5]
26	Constantine Papageorgiou	[31]
27	Andrea Passerini	[27]
28	Luis Pérez-Breva	[14]
29	A. Petrolini	[5]
30	Tomaso Poggio	[9] [10] [11] [12] [13] [14] [17] [19] [28] [31]
31	Ryan M. Rifkin	[6] [7]
32	Stefano Rogai	[4]
33	Fabio Roli	[21] [29]
34	Thomas Serre	[17] [19]
35	Vladimir Vapnik	[11]
36	Alessandro Verri	[1] [2] [3] [4] [5] [7]
37	Thomas Vetter	[17]
38	Ernesto De Vito	[59]
39	Lisa Wainer	[44]
40	Jason Weston	[11]
41	Michiko Yamana	[32]
42	Yuan Yao	[20] [21] [29]
43	Yiming Ying	[50] [52]

Colors in the list of coauthors