Results 121 to 130 of about 3,143,268 (283)

Splitting Algorithms for Distributionally Robust Optimization

25 ...
Briceño-Arias, Luis, López-Rivera, Sergio, Vilches, Emilio   +2 more
openaire   +3 more sources

Integration of Serum Neurofilament Light Chain and Cortical Dysfunction Improves Diagnostic Accuracy in ALS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma, Nathan Pavey, Yukiko Tsuji, Amirul Ab Ghapar, Mehdi A.J. van den Bos, Bronwen Orden, Grace Lee, Linda Mekhael, Julie Ryder, Cláudia Santos Silva, David McDonald, Fakhria Kakar, Con Yiannikas, Matthew C. Kiernan, David A. Brown, Parvathi Menon, Steve Vucic   +16 more
wiley   +1 more source

Distributionally Robust Optimization with SOS Polynomial Density Functions and Moment Conditions

, 2018
Numerous decision problems are solved using the tools of distributionally robust optimization. In this framework, the distribution of the problem's random parameter is assumed to be known only partially in the form of, for example, the values of its ...
Postek, Krzysztof
core   +1 more source

Distributionally Robust Optimization Adaptive Event‐Triggered SMPC for DC‐DC Converters Subject to Unknown Disturbances and DoS Attacks

IET Power Electronics
In this paper, we present adaptive event‐triggered distributionally robust optimization stochastic model predictive control (AET‐DROSMPC) applied to DC‐DC converters subject to unknown disturbances and denial of service (DoS) attacks.
Yadong Chen, Peng Cheng
doaj   +1 more source

An Approximate Algorithm for Sparse Distributionally Robust Optimization

Information
In this paper, we propose a sparse distributionally robust optimization (DRO) model incorporating the Conditional Value-at-Risk (CVaR) measure to control tail risks in uncertain environments.
Ruyu Wang, Yaozhong Hu, Cong Liu, Quanwei Gao   +3 more
doaj   +1 more source

Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin, Tianyuan Yang, Minglei Liu, Haiyang Luo, Jing Yuan, Ke Zhang, Xinsheng Han, Jing Yang, Yuming Xu   +8 more
wiley   +1 more source

Blood RNA Biomarker Signatures for Early Diagnosis and Prognosis in Ischemic and Hemorrhagic Stroke: The IBIS‐CT1 Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau, Marie Bruguet, Irina Viakhireva‐Dovganyuk, François‐Mathias Merrien, Denis Marechal, Aurore Jourdain, Philippe Goas, Jordan Coris, Julien Asselineau, Maëlys Consigny, Gérald Le Gac, Serge Timsit   +11 more
wiley   +1 more source

Distributionally Robust Bayesian Optimization via Sinkhorn-Based Wasserstein Barycenter

Machine Learning and Knowledge Extraction
This paper introduces a novel framework for Distributionally Robust Bayesian Optimization (DRBO) with continuous context that integrates optimal transport theory and entropic regularization.
Iman Seyedi, Antonio Candelieri, Francesco Archetti   +2 more
doaj   +1 more source

Decision-dependent Distributionally Robust Optimization

, 2023
This work presents a new Distributionally Robust Optimization approach, using $p$-Wasserstein metrics, to analyze a stochastic program in a general context.
Junca, Mauricio, Fonseca, Diego
core  

Baseline Neuroinflammation Stratifies TSPO‐PET Response to Disease‐Modifying Therapy in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch, Markus Matilainen, Giulia N. Baldrighi, Marjo Nylund, Maija Saraste, Laura Airas   +5 more
wiley   +1 more source