Results 111 to 120 of about 6,391,262 (321)
La mimesi della regressione alla prova dell’ordine simbolico: una pratica artistica regressiva
Itinera, 2013 The mimesis of regression is an artistic strategy that challenges the symbolic order. This challenge has some controversial points, since on the one hand the symbolic order proves to be extremely resistant as it manages to integrate the mimesis of ...
Matteo Meneghini
doaj +1 more source
Memetic Semantic Genetic Programming for Symbolic Regression
, 2023 International audienceThis paper describes a new memetic semantic algorithm for symbolic regression (SR). While memetic computation offers a way to encode domain knowledge into a population-based process, semantic-based algorithms allow one to improve ...
Schoenauer, Marc, Leite, Alessandro
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Advanced Materials, EarlyView.Additively manufactured triply periodic minimal surface (TPMS) membranes offer an architecture‐driven alternative to hollow fiber bundles in artificial lungs. Multiphysics simulations and endothelialized prototypes show that the 3D‐printable membrane architecture improves gas exchange, blood flow distribution, and hemocompatibility, enabling ...
Michael Pflaum +14 more
wiley +1 more source
Data-Driven Approach for Left Ventricular Volume Estimation using Intracardiac Admittance
Current Directions in Biomedical EngineeringAccurate estimation of left ventricular volume (LVV) is essential for managing cardiovascular diseases such as heart failure and myocardial infarction. A promising approach for continuous LVV estimation is using intracardiac admittance measurements.
Voss Daniel +2 more
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Interdisciplinary MaterialsSymbolic regression (SR), exploring mathematical expressions from a given data set to construct an interpretable model, emerges as a powerful computational technique with the potential to transform the “black box” machining learning methods into physical
Guanjie Wang +4 more
semanticscholar +1 more source
Transient Cytoskeletal Anisotropy Encodes Short‐Term Mechanical Memory in Glioblastoma Cells
Advanced Materials, EarlyView.The same mechanical deformation can produce distinct cytoskeletal states depending on loading history. Experiments and constitutive modeling reveal that transient actin–vimentin anisotropy stores mechanical information and governs short‐term mechanical memory in glioblastoma cells.
Clara Gomez‐Cruz +5 more
wiley +1 more source
Symbolic regression for empirically realistic population dynamic time series
Ecological InformaticsApplications of machine learning in ecology are rapidly expanding. Symbolic regression is gaining particular attention for its success in reverse-engineering human-readable explanatory population models, including the logistic growth and Lotka–Volterra ...
Cheyenne N. Jarman +2 more
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Symbolic Regression on Network Properties
, 2017 Networks are continuously growing in complexity, which creates challenges for determining their most important characteristics. While analytical bounds are often too conservative, the computational effort of algorithmic approaches does not scale well with network size.
Marcus Märtens +2 more
openaire +3 more sources
Firefly Programming For Symbolic Regression Problems
, 2020 Symbolic regression is the process of finding a mathematical formula that fits a specific set of data by searching in different mathematical expressions. This process requires great accuracy in order to reach the correct formula.
Sercan Demirci +5 more
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Advanced Materials, EarlyView.Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source