Results 281 to 290 of about 187,683 (312)

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

How to Live in the Moment: The Methodology and Limitations of Evolutionary Research on Consciousness. [PDF]

Cogn Sci
de Weerd CR, Dung L.
europepmc   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Bayesian methods for inverse problems in signal and image processing

, 2017
Yosra Marnissi
openalex   +1 more source

Analysis of Large-Scale Genetic Perturbation with Linear Regression of Microarray and Bayesian Networks

, 2018
Ruifu Jiang
openalex   +1 more source

Arousal coherence, uncertainty, and well-being: an active inference account. [PDF]

Neurosci Conscious
Biddell H, Solms M, Slagter H, Laukkonen R.   +3 more
europepmc   +1 more source

Bayesian networks

, 2011
openaire   +2 more sources

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Bayesian Way

NEJM Evidence, 2023
In the Stats, STAT! video, "Bayesian Way", originally published April 25, 2023 (DOI: 10.1056/EVIDstat2300090), at the 5:19 mark, the video states "…there is a 95% probability that biking is faster than taking the train…". It should have said, "…there is a greater than 95% probability that biking is faster than taking the train…" A corrected version of ...
C Corey, Hardin, Susan, Halabi, Daniel, Muller, Natalie, Koscal, Tim, Vining, Sharon-Lise, Normand, Chana A, Sacks   +6 more
openaire   +4 more sources