Results 171 to 180 of about 6,917,983 (390)

Bayesian Network Classifiers

Machine-mediated learning, 1997
N. Friedman, D. Geiger, M. Goldszmidt
semanticscholar   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

Exploiting Causal Independence in Bayesian Network Inference

, 1996
Nevin L. Zhang, David Poole
openalex   +4 more sources

Chemical Process Development in the Pharmaceutical Industry in Europe—Insights and Perspectives from Industry Scientists

Angewandte Chemie, EarlyView.
What are the tasks of chemical process development in the pharmaceutical industry? What are trends and challenges? This Scientific Perspective written by members of the European pharmaceutical industry introduces key concepts of drug development and key drivers for the future of chemical process development.
Joachim Krueger, André P. Dieskau, Jorma Hassfeld, Joerg Gries, Oliver Block, Hilmar Weinmann, Daniel Kaufmann, Stefan Hildbrand, Volker Kraft, Robert Moeckel, Juan R. Dehli, Ulrich Scholz, Carl Friedrich Nising   +12 more
wiley   +2 more sources

Using Bayesian neural networks to classify segmented images [PDF]

, 1997
Francesco Vivarelli, Christopher K. I. Williams   +1 more
openalex   +1 more source

Comparative assessment of satellite‐ and drone‐based vegetation indices to predict arthropod biomass in shrub‐steppes

Ecological Applications, Volume 32, Issue 8, December 2022., 2022
Abstract Arthropod biomass is a key element in ecosystem functionality and a basic food item for many species. It must be estimated through traditional costly field sampling, normally at just a few sampling points. Arthropod biomass and plant productivity should be narrowly related because a large majority of arthropods are herbivorous, and others ...
J. Traba, J. Gómez‐Catasús, A. Barrero, D. Bustillo‐de la Rosa, J. Zurdo, I. Hervás, C. Pérez‐Granados, E. L. García de la Morena, A. Santamaría, M. Reverter   +9 more
wiley   +1 more source

Bayesian Networks and Proof-Nets: a proof-theoretical account of Bayesian Inference [PDF]

arXiv
We uncover a strong correspondence between Bayesian Networks and (Multiplicative) Linear Logic Proof-Nets, relating the two as a representation of a joint probability distribution and at the level of computation, so yielding a proof-theoretical account of Bayesian Inference.
arxiv  

Phylogenomics, historical biogeography, and diversification of leaf traits in the Malagasy‐endemic genus Uncarina (Pedaliaceae)

American Journal of Botany, EarlyView.
Abstract Premise Uncarina contains 14 species of woody plants endemic to Madagascar. Its occurrence across dryland biomes on the island make it an interesting system to study the diversification of the flora. Methods Using samples of all species and 512 nuclear loci, we reconstructed phylogenetic trees to examine species relationships and assess their ...
Jeffrey P. Rose, John G. Zaborsky, Nisa Karimi, Kenneth J. Sytsma   +3 more
wiley   +1 more source

New potential for an old kid on the block: Impact of premorbid metformin use on lactate kinetics, kidney injury and mortality in sepsis and septic shock, an observational study

Endocrinology, Diabetes &Metabolism, Volume 6, Issue 1, January 2023., 2023
Metformin’s pleomorphic effects may be beneficial in sepsis and septic shock, but its impact remains controversial. Our study is the first to show a significant association between metformin and lactate kinetics in sepsis or septic shock, with a larger decrease in lactate after admission.
Nina Van Moorter, Thomas Tackaert, Koen De Decker, Bruno Van Vlem, Nikolaas De Neve   +4 more
wiley   +1 more source

GABAergic modulation of beta power enhances motor adaptation in frontotemporal lobar degeneration

Alzheimer's &Dementia, EarlyView.
Abstract INTRODUCTION We examined how abnormal prefrontal neurophysiology and changes in gamma‐aminobutyric acid‐ergic (GABAergic) neurotransmission contribute to behavioral impairments in disorders associated with frontotemporal lobar degeneration (FTLD). METHODS We recorded magnetoencephalography during an adaptive visuomotor task from 11 people with
Laura E. Hughes, Natalie E. Adams, Matthew A. Rouse, Michelle Naessens, Alexander Shaw, Alexander G. Murley, Thomas E. Cope, Negin Holland, David Nesbitt, Duncan Street, David J. Whiteside, James B. Rowe   +11 more
wiley   +1 more source