Results 61 to 70 of about 622,033 (280)

Commutativity of probabilistic belief revision

Frontiers in Cognition
Bayesian updating, also known as belief revision or conditioning, is a core mechanism of probability theory, and of AI. The human mind is very sensitive to the order in which it is being “primed”, but Bayesian updating works commutatively: the order of ...
Bart Jacobs
doaj   +1 more source

Model selection in Medical Research: A simulation study comparing Bayesian Model Averaging and Stepwise Regression

BMC Medical Research Methodology, 2010
Background Automatic variable selection methods are usually discouraged in medical research although we believe they might be valuable for studies where subject matter knowledge is limited.
Steineck Gunnar, Nemes Szilard, Genell Anna, Dickman Paul W   +3 more
doaj   +1 more source

Fault diagnosis of mine hoist based on fuzzy fault tree and Bayesian network

Gong-kuang zidonghua, 2020
In order to solve problems of low efficiency and poor accuracy of existing mine hoist fault diagnosis methods, a fault diagnosis method of mine hoist based on fuzzy fault tree and Bayesian network was proposed.
ZHANG Mei, XU Tao, SUN Huihuang, MENG Xiangyu   +3 more
doaj   +1 more source

Facts, Values and Quanta

, 2004
Quantum mechanics is a fundamentally probabilistic theory (at least so far as the empirical predictions are concerned). It follows that, if one wants to properly understand quantum mechanics, it is essential to clearly understand the meaning of ...
?ajek A. H, A. Valentini, A. Valentini, B. C. van Fraassen, C. Howson, C.M. Caves, C.M. Caves, C.M. Caves, D. Bohm, D. Gillies, D. Lewis, D.A. Gillies, Fin1 B. de Finetti, H. Jeffreys, H. Jeffreys, H. Poincar ?e, H. Reichenbach, I. Hacking, I. Newton, I. Pitowsky, J. Earman, J. M. Bernardo, J. Neyman, J. Venn, J. von Plato, J.M. Keynes, J.S. Bell, J.T. Cushing, K.R. Popper, K.R. Popper, K.R. Popper, K.R. Popper, L. Daston, L. Hardy, L. Sklar, L. Wittgenstein, L. Wittgenstein, L. Wittgenstein, L.E. Ballentine, L.J. Savage, M. Born, N. Goodman, P. S. de Laplace, P.A. Schilpp, P.R. Holland, R. A. Fisher, R. Carnap, R. von Mises, R. von Mises, R.C. Jeffrey, W. Feller, Y.M. Guttman   +51 more
core   +3 more sources

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Application of Bayesian Networks to Quantitative Assessment of Safety Barriers’ Performance in the Prevention of Major Accidents

Chemical Engineering Transactions, 2016
Process plants are particularly subjected to major accidental events, whose catastrophic escalations, triggered by external factors and characterized by very high impact and low probability, can affect both workers and population in the nearby of a ...
V. Villa, V. Cozzani
doaj   +1 more source

Superionic Amorphous Li2ZrCl6 and Li2HfCl6

Advanced Materials, EarlyView.
Amorphous Li2HfCl6 and L2ZrCl6 are shown to be promising solid‐state electrolytes with predicted ionic conductivities >20 mS·cm−1. Molecular dynamics simulations with machine‐learning force fields reveal that anion vibrations and flexible MCl6 octahedra soften the Li coordination cage and enhance mobility. Correlation between Li‐ion diffusivity and the
Shukai Yao, De‐en Jiang
wiley   +1 more source

Data‐Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells

Advanced Materials, EarlyView.
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim, Yang Jeong Park, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok   +8 more
wiley   +1 more source

Determination of Maximum Bayesian Entropy Probability Distribution [PDF]

Journal of Sciences, Islamic Republic of Iran, 2005
In this paper, we consider the determination methods of maximum entropy multivariate distributions with given prior under the constraints, that the marginal distributions or the marginals and covariance matrix are prescribed.
doaj  

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source