Results 31 to 40 of about 425 (153)

A general theory of inverse welfare functions

Theoretical Economics, Volume 21, Issue 3, Page 973-1018, July 2026.
This paper develops a general theory to recover the inverse welfare function that rationalizes a given tax schedule as optimal. Our theory allows for complex environments including the presence of multidimensional tax schedules, bunching/jumping behavior, optimization frictions, general equilibrium effects, and externalities.
Katy Bergstrom, William Dodds
wiley   +1 more source

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

Biotechnology and Bioengineering, Volume 123, Issue 6, Page 1417-1431, June 2026.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source

Nonsmooth calculus and optimization for machine learning : first-order sampling and implicit differentiation [PDF]

, 2023
Les problèmes d'apprentissage automatique se formulent souvent comme une minimisation de risques présentant de la non-lissité et de la non-convexité. Des sources importantes de non-lissité sont l'utilisation privilégiée d'instructions conditionnelles et ...
Le, Tam
core  

A Spectral Matching Algorithm Based on the Wasserstein Metric

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Through visual inspection, scientists can easily judge the similarity of pairs of spectra from different sources, whether they are experimental measurements, spectra libraries, or spectra calculations. Spectral similarity is recognized when the peak patterns appear similar, even if the peak positions are shifted or the peak amplitudes are ...
Klaus Neymeyr, Baoxin Zhang, Christoph Kubis, Mattis Brinker, Lukas Prestin, Tomass Andersons, Mathias Sawall, Jan Hellwig   +7 more
wiley   +1 more source

Approximate Solutions of Nonsmooth Systems via Generalized Euler-Lagrange and Hamiltonian Equations [PDF]

, 2016
Recently the traditional calculus of variations has been extended to be applicable for systemscontaining nonsmooth function. In this paper, we have investigated the generalized derivativeof nonsmooth functions.
Kamyad, A. Vahidian, Yousefi, M., Zeid, S. Soradi   +2 more
core   +1 more source

Variance‐Guided Regression for Heteroscedastic Data With a Grouping‐Based Extension for Nonlinear Prediction

Statistics in Medicine, Volume 45, Issue 13-14, June 2026.
ABSTRACT Although homoscedasticity is often assumed in linear regression, real data may show variance patterns or residual structures that violate this assumption. We propose VarGuid, a variance‐guided framework for two related settings: Covariate‐dependent conditional variance under a global linear mean model, and residual nonlinear mean structure ...
Sibei Liu, Min Lu
wiley   +1 more source

Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr, Alexander Haluszczynski, Christoph Räth   +2 more
wiley   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, Volume 123, Issue 5, Page 1107-1122, May 2026.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Chinese Retrospective Multicenter Study Based on Global Meta‐Analysis

Cancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Objective Microvascular invasion (MVI) has been identified as a risk factor for the prognosis of patients with hepatocellular carcinoma (HCC). However, it can only be diagnosed pathologically, and thus no widely applicable preoperative MVI risk prediction model has been established.
Jia Xu, Yue‐Lu Zhang, Man Yang, Zhengbo Deng, Laisheng Li, Ting Wang, Jinhua Song, Hai Xu, Jian Wu, Zhi‐Qi Wu, Hua‐Guo Xu   +10 more
wiley   +1 more source

Optimal Control of the Viscous Wave Equation via the Pontryagin Maximum Principle

Numerical Methods for Partial Differential Equations, Volume 42, Issue 3, May 2026.
ABSTRACT A tracking‐type optimal control problem governed by the viscous wave equation with a distributed‐source control and L2$$ {L}^2 $$‐L1$$ {L}^1 $$ control costs is investigated. For this class of PDE‐constrained linear‐convex problems, a Pontryagin maximum principle (PMP) in the PDE setting is derived, and it is shown that the pointwise ...
A. Borzì, S. Roy
wiley   +1 more source