Results 111 to 120 of about 6,628,841 (378)
arXiv, 2001 Bayesian networks provide an elegant formalism for representing and reasoning about uncertainty using probability theory. Theyare a probabilistic extension of propositional logic and, hence, inherit some of the limitations of propositional logic, such as the difficulties to represent objects and relations.
arxiv
Bayesian Approach to Network Modularity
Physical Review Letters, 2008 We present an efficient, principled, and interpretable technique for inferring module assignments and for identifying the optimal number of modules in a given network. We show how several existing methods for finding modules can be described as variant, special, or limiting cases of our work, and how the method overcomes the resolution limit problem ...
Jake M. Hofman, Chris H. Wiggins
openaire +5 more sources
Advanced Science, EarlyView.Polyglutamine (polyQ) tract expansion (≥ 36 amino acids) within the N‐terminal region of the Huntingtin protein (Httex1) causes Huntington's disease (HD), for which the underlying causes are not well‐understood. The authors performed computer simulations to understand the cause of HD at the molecular level.
Priyesh Mohanty +2 more
wiley +1 more source
Batteries &Supercaps, Volume 6, Issue 1, January 2023., 2023 We introduce a computer algorithm that incorporates the experience of battery researchers to extract information from experimental data reproducibly. This enables the fitting of complex models that take up to a few minutes to simulate. For validation, we process full‐cell GITT measurements to characterize the diffusivities of both electrodes non ...
Yannick Kuhn +3 more
wiley +1 more source
Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications
Advanced Electronic Materials, EarlyView.This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster +2 more
wiley +1 more source
On the relevance of prognostic information for clinical trials: A theoretical quantification
Biometrical Journal, Volume 65, Issue 1, January 2023., 2023 Abstract The question of how individual patient data from cohort studies or historical clinical trials can be leveraged for designing more powerful, or smaller yet equally powerful, clinical trials becomes increasingly important in the era of digitalization.
Sandra Siegfried +2 more
wiley +1 more source
Discrete Bayesian Network Classifiers
ACM Computing Surveys, 2014 We have had to wait over 30 years since the naive Bayes model was first introduced in 1960 for the so-called Bayesian network classifiers to resurge.
C. Bielza, P. Larrañaga
semanticscholar +1 more source
Advanced Electronic Materials, EarlyView.This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag +3 more
wiley +1 more source
On the Relative Expressiveness of Bayesian and Neural Networks [PDF]
arXiv, 2018 A neural network computes a function. A central property of neural networks is that they are "universal approximators:" for a given continuous function, there exists a neural network that can approximate it arbitrarily well, given enough neurons (and some additional assumptions).
arxiv
The Value of Device Characterization for the Optimization of Organic Solar Cells
Advanced Energy Materials, EarlyView.Using the example of organic photovoltaics (OPV), this study examines whether and when additional measurements can be helpful in process optimization. A virtual laboratory based on real solar cells serves as a benchmark function to compare two different approaches for process optimization, namely black‐box optimization (black circle) and model‐based ...
Leonard Christen +4 more
wiley +1 more source