Francesco Dinuzzo
Francesco Dinuzzo
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Kernel methods in system identification, machine learning and function estimation: A survey
G Pillonetto, F Dinuzzo, T Chen, G De Nicolao, L Ljung
Automatica 50 (3), 657-682, 2014
Learning from distributions via Support Measure Machines
K Muandet, B Schölkopf, K Fukumizu, F Dinuzzo
Advances in Neural Information Processing Systems 25, 2012
Higher order sliding mode controllers with optimal reaching
F Dinuzzo, A Ferrara
IEEE Transactions on Automatic Control 54 (9), 2126-2136, 2009
Stance classification of context-dependent claims
R Bar-Haim, I Bhattacharya, F Dinuzzo, A Saha, N Slonim
Proceedings of the 15th Conference of the European Chapter of the …, 2017
Learning output kernels with block coordinate descent
F Dinuzzo, CS Ong, P Gehler, G Pillonetto
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
Electricity Demand Forecasting by Multi-Task Learning
JB Fiot, F Dinuzzo
IEEE Transactions on Smart Grid 9 (2), 544-551, 2018
The representer theorem for Hilbert spaces: a necessary and sufficient condition
F Dinuzzo, B Schölkopf
Advances in Neural Information Processing Systems 25, 189--196, 2012
Bayesian online multitask learning of Gaussian processes
G Pillonetto, F Dinuzzo, G De Nicolao
Pattern Analysis and Machine Intelligence, IEEE Transactions on 32 (2), 193-205, 2010
Kernels for linear time invariant system identification
F Dinuzzo
SIAM Journal on Control and Optimization 53 (5), 3299–3317, 2015
Client–server multitask learning from distributed datasets
F Dinuzzo, G Pillonetto, G De Nicolao
Neural Networks, IEEE Transactions on 22 (2), 290-303, 2011
On the representer theorem and equivalent degrees of freedom of SVR.
F Dinuzzo, M Neve, G De Nicolao, UP Gianazza
Journal of Machine Learning Research 8 (10), 2007
Learning output kernels for multi-task problems
F Dinuzzo
Neurocomputing 118, 119-126, 2013
A Unifying View of Representer Theorems
A Argyriou, F Dinuzzo
ICML, 2014
Learning low-rank output kernels
F Dinuzzo, K Fukumizu
Asian Conference on Machine Learning, 181-196, 2011
Sliding mode optimal regulator for a Bolza-Meyer criterion with non-quadratic state energy terms
M Basin, D Calderon-Alvarez, A Ferrara, F Dinuzzo
2009 American Control Conference, 4951-4955, 2009
Kernel machines with two layers and multiple kernel learning
F Dinuzzo
arXiv preprint arXiv:1001.2709, 2010
Finite-time output stabilization with second order sliding modes
F Dinuzzo, A Ferrara
Automatica 45 (9), 2169-2171, 2009
An algebraic characterization of the optimum of regularized kernel methods
F Dinuzzo, G De Nicolao
Machine learning 74 (3), 315-345, 2009
Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods
F Dinuzzo
Neural Networks, IEEE Transactions on 22 (2), 290-303, 2011
A second order sliding mode controller with polygonal constraints
F Dinuzzo
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009
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Artiklar 1–20