مقالات بحثية تمّ التفويض بإتاحتها للجميع - Massimiliano Pontilمزيد من المعلومات
عدد المقالات البحثية غير المتاحة للجميع في أي موقع: 2
Structured sparsity regularization approach to the EEG inverse problem
J Montoya-Martínez, A Artés-Rodríguez, LK Hansen, M Pontil
2012 3rd International Workshop on Cognitive Information Processing (CIP), 1-6, 2012
التفويضات: Government of Spain
Multi-task averaging via task clustering
D Martínez-Rego, M Pontil
Similarity-Based Pattern Recognition: Second International Workshop, SIMBAD …, 2013
التفويضات: Government of Spain
عدد المقالات البحثية المتاحة للجميع في موقع ما: 55
Empirical risk minimization under fairness constraints
M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil
Advances in neural information processing systems 31, 2018
التفويضات: UK Engineering and Physical Sciences Research Council
Quantum machine learning: a classical perspective
C Ciliberto, M Herbster, AD Ialongo, M Pontil, A Rocchetto, S Severini, ...
Proc. R. Soc. A 474 (2209), 20170551, 2018
التفويضات: National Natural Science Foundation of China, UK Engineering and Physical …
Machine learning for cultural heritage: A survey
M Fiorucci, M Khoroshiltseva, M Pontil, A Traviglia, A Del Bue, S James
Pattern Recognition Letters 133, 102-108, 2020
التفويضات: European Commission
Sparse coding for multitask and transfer learning
A Maurer, M Pontil, B Romera-Paredes
International conference on machine learning, 343-351, 2013
التفويضات: UK Engineering and Physical Sciences Research Council
A new convex relaxation for tensor completion
B Romera-Paredes, M Pontil
Advances in neural information processing systems 26, 2013
التفويضات: UK Engineering and Physical Sciences Research Council
Multilinear multitask learning
B Romera-Paredes, H Aung, N Bianchi-Berthouze, M Pontil
International Conference on Machine Learning, 1444-1452, 2013
التفويضات: UK Engineering and Physical Sciences Research Council
Differential properties of sinkhorn approximation for learning with wasserstein distance
G Luise, A Rudi, M Pontil, C Ciliberto
Advances in Neural Information Processing Systems 31, 2018
التفويضات: US Department of Defense, UK Engineering and Physical Sciences Research …
Excess risk bounds for multitask learning with trace norm regularization
A Maurer, M Pontil
Conference on Learning Theory, 55-76, 2013
التفويضات: UK Engineering and Physical Sciences Research Council
Joint semantic and latent attribute modelling for cross-class transfer learning
P Peng, Y Tian, T Xiang, Y Wang, M Pontil, T Huang
IEEE transactions on pattern analysis and machine intelligence 40 (7), 1625-1638, 2017
التفويضات: National Natural Science Foundation of China
Learning to learn around a common mean
G Denevi, C Ciliberto, D Stamos, M Pontil
Advances in neural information processing systems 31, 2018
التفويضات: US Department of Defense, UK Engineering and Physical Sciences Research Council
New Perspectives on the k-Support and Cluster Norms
A McDonald, M Pontil, D Stamos
Journal of Machine Learning Research 17 (155), 1-38, 2016
التفويضات: UK Engineering and Physical Sciences Research Council
Regularizers for structured sparsity
CA Micchelli, JM Morales, M Pontil
Advances in Computational Mathematics 38 (3), 455-489, 2013
التفويضات: UK Engineering and Physical Sciences Research Council
Taking advantage of multitask learning for fair classification
L Oneto, M Doninini, A Elders, M Pontil
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 227-237, 2019
التفويضات: UK Engineering and Physical Sciences Research Council
Online-within-online meta-learning
G Denevi, D Stamos, C Ciliberto, M Pontil
Advances in Neural Information Processing Systems 32, 2019
التفويضات: UK Engineering and Physical Sciences Research Council
Exploiting higher order smoothness in derivative-free optimization and continuous bandits
A Akhavan, M Pontil, A Tsybakov
Advances in neural information processing systems 33, 9017-9027, 2020
التفويضات: Agence Nationale de la Recherche
Action observation areas represent intentions from subtle kinematic features
A Koul, A Cavallo, F Cauda, T Costa, M Diano, M Pontil, C Becchio
Cerebral Cortex 28 (7), 2647-2654, 2018
التفويضات: European Commission
Multiple instance learning for emotion recognition using physiological signals
L Romeo, A Cavallo, L Pepa, N Bianchi-Berthouze, M Pontil
IEEE Transactions on affective computing 13 (1), 389-407, 2019
التفويضات: UK Engineering and Physical Sciences Research Council
The advantage of conditional meta-learning for biased regularization and fine tuning
G Denevi, M Pontil, C Ciliberto
Advances in Neural Information Processing Systems 33, 964-974, 2020
التفويضات: UK Engineering and Physical Sciences Research Council
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