Zobrazeno 1 - 10
of 5 120
pro vyhledávání: '"Leonelli, A."'
Autor:
Leonelli, Manuele
Biathlon is a unique winter sport that combines precision rifle marksmanship with the endurance demands of cross-country skiing. We develop a Bayesian hierarchical model to predict and understand shooting performance using data from the 2021/22 Women
Externí odkaz:
http://arxiv.org/abs/2411.02000
The half-Heusler compound GdBiPt orders antiferromagnetically around $T_\mathrm{N}=8.5$ K which implies breaking the time reversal symmetry as well as the translational symmetry. This combination preserves the global symmetry. Here, we used rotationa
Externí odkaz:
http://arxiv.org/abs/2410.00172
Autor:
Leonelli, Manuele
Bayesian networks (BNs) are widely used for modeling complex systems with uncertainty, yet repositories of pre-built BNs remain limited. This paper introduces bnRep, an open-source R package offering a comprehensive collection of documented BNs, faci
Externí odkaz:
http://arxiv.org/abs/2409.19158
Autor:
Dieny, Bernard, Aggarwal, Sanjeev, Naik, Vinayak Bharat, Couet, Sebastien, Coughlin, Thomas, Fukami, Shunsuke, Garello, Kevin, Guedj, Jack, Incorvia, Jean Anne C., Lebrun, Laurent, Lee, Kyung-Jin, Leonelli, Daniele, Noh, Yonghwan, Salimy, Siamak, Soss, Steven, Thomas, Luc, Wang, Weigang, Worledge, Daniel
This application note discusses the working principle of spin-transfer torque magnetoresistive random access memory (STT-MRAM) and the impact that magnetic fields can have on STT-MRAM operation. Sources of magnetic field and typical magnitudes of mag
Externí odkaz:
http://arxiv.org/abs/2409.05584
Autor:
Favron, Alexandre, Goudreault, Félix Antoine, Gosselin, Vincent, Groulx, Julien, Côté, Michel, Leonelli, Richard, Germain, Jean-Francis, Phaneuf-L'Heureux, Anne-Laurence, Francoeur, Sébastien, Martel, Richard
Publikováno v:
Nano Lett. 18, 1018 (2018)
Second-order Raman scattering has been extensively studied in carbon-based nanomaterials, \emph{e.g.} nanotube and graphene, because it activates normally forbidden Raman modes that are sensitive to crystal disorder, such as defects, dopants, strain,
Externí odkaz:
http://arxiv.org/abs/2408.09010
The sensitivity of a gold-silver bilayer system for gas detection was investigated using angle-fixed reflectance measurements and numerical calculations based on the transfer-matrix method. Two configurations of bilayer systems were analyzed: gold on
Externí odkaz:
http://arxiv.org/abs/2408.08330
Bayesian networks are one of the most widely used classes of probabilistic models for risk management and decision support because of their interpretability and flexibility in including heterogeneous pieces of information. In any applied modelling, i
Externí odkaz:
http://arxiv.org/abs/2407.04667
Traditionally, the sensitivity analysis of a Bayesian network studies the impact of individually modifying the entries of its conditional probability tables in a one-at-a-time (OAT) fashion. However, this approach fails to give a comprehensive accoun
Externí odkaz:
http://arxiv.org/abs/2406.05764
Staged trees are probabilistic graphical models capable of representing any class of non-symmetric independence via a coloring of its vertices. Several structural learning routines have been defined and implemented to learn staged trees from data, un
Externí odkaz:
http://arxiv.org/abs/2405.18306
Autor:
Leonelli, Manuele, Varando, Gherardo
Supervised classification is one of the most ubiquitous tasks in machine learning. Generative classifiers based on Bayesian networks are often used because of their interpretability and competitive accuracy. The widely used naive and TAN classifiers
Externí odkaz:
http://arxiv.org/abs/2405.18298