Zobrazeno 1 - 10
of 1 532
pro vyhledávání: '"Pronzato, P."'
Autor:
Sagnol, Guillaume, Pronzato, Luc
Publikováno v:
Journal of Machine Learning Research, 24(307), pp.1--32, 2023
The problems of Lasso regression and optimal design of experiments share a critical property: their optimal solutions are typically \emph{sparse}, i.e., only a small fraction of the optimal variables are non-zero. Therefore, the identification of the
Externí odkaz:
http://arxiv.org/abs/2310.08939
Autor:
Irene Giannubilo, Linda Battistuzzi, Eva Blondeaux, Tommaso Ruelle, Francesca Benedetta Poggio, Giulia Buzzatti, Alessia D’Alonzo, Federica Della Rovere, Maria Maddalena Latocca, Chiara Molinelli, Maria Grazia Razeti, Simone Nardin, Luca Arecco, Marta Perachino, Diletta Favero, Roberto Borea, Paolo Pronzato, Lucia Del Mastro, Claudia Bighin
Publikováno v:
BMC Palliative Care, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Objectives To better understand the type of care offered to Italian patients with advanced breast cancer at the End-of-Life (EoL), we conducted a retrospective observational study. EoL was defined as the period of six months before death. Me
Externí odkaz:
https://doaj.org/article/1811377c3ab741bd86758ad1997e27b8
The paper covers the design and analysis of experiments to discriminate between two Gaussian process models, such as those widely used in computer experiments, kriging, sensor location and machine learning. Two frameworks are considered. First, we st
Externí odkaz:
http://arxiv.org/abs/2211.11624
Unbiased assessment of the predictivity of models learnt by supervised machine-learning methods requires knowledge of the learned function over a reserved test set (not used by the learning algorithm). The quality of the assessment depends, naturally
Externí odkaz:
http://arxiv.org/abs/2207.03724
Autor:
Pronzato, Luc, Zhigljavsky, Anatoly
A design is a collection of distinct points in a given set $X$, which is assumed to be a compact subset of $R^d$, and the mesh-ratio of a design is the ratio of its fill distance to its separation radius. The uniformity constant of a sequence of nest
Externí odkaz:
http://arxiv.org/abs/2112.10401
Autor:
Pronzato, Luc, Rendas, Maria-João
We construct validation designs $Z_m$ aimed at estimating the integrated squared prediction error of a given design $X_n$. Our approach is based on the minimization of a maximum mean discrepancy for a particular kernel, conditional on $X_n$, so that
Externí odkaz:
http://arxiv.org/abs/2112.05583
The paper addresses the problem of defining families of ordered sequences $\{x_i\}_{i\in N}$ of elements of a compact subset $X$ of $R^d$ whose prefixes $X_n=\{x_i\}_{i=1}^{n}$, for all orders $n$, have good space-filling properties as measured by th
Externí odkaz:
http://arxiv.org/abs/2106.05833
Autor:
Anna Graziella Burroni, Niccolò Capurro, Franco Rongioletti, Emanuele Cozzani, Paolo Pronzato, Astrid Herzum, Antonio Guadagno, Mattia Fabio Molle, Giorgio Oddenino, Aurora Parodi
Publikováno v:
Dermatology Practical & Conceptual, Vol 14, Iss 1 (2024)
Introduction: Diffuse Melanosis Cutis (DMC) is a rare and late complication of metastatic malignant melanoma (MM) characterized by progressive pigmentation of skin and sometimes mucous membranes. The distinctive feature is the widespread and progress
Externí odkaz:
https://doaj.org/article/e47af2ba3ee44138a6e7efa571829ac3
Autor:
A. Boutros, R. Carosio, D. Campanella, F. Spagnolo, B. Banelli, A. Morabito, M.P. Pistillo, E. Croce, F. Cecchi, P. Pronzato, P. Queirolo, E. Raposio, V. Fontana, E.T. Tanda
Publikováno v:
Immuno-Oncology and Technology, Vol 20, Iss , Pp 100408- (2023)
Background: Despite having revolutionized the treatment paradigm for advanced melanoma, not all patients benefit from immune checkpoint inhibitor therapy. To date, there are no predictive biomarkers for response or the occurrence of immune-related ad
Externí odkaz:
https://doaj.org/article/5f6042a2cc5041439f7d2b2d81fb1fc3
Autor:
Pronzato, Luc
We analyse the performance of several iterative algorithms for the quantisation of a probability measure $\mu$, based on the minimisation of a Maximum Mean Discrepancy (MMD). Our analysis includes kernel herding, greedy MMD minimisation and Sequentia
Externí odkaz:
http://arxiv.org/abs/2101.07564