Results 31 to 40 of about 569 (214)
Distributionally Robust Recourse Action
A recourse action aims to explain a particular algorithmic decision by showing one specific way in which the instance could be modified to receive an alternate outcome. Existing recourse generation methods often assume that the machine learning model does not change over time.
Duy Nguyen, Ngoc Bui, Viet Anh Nguyen
openaire +3 more sources
Sinkhorn Distributionally Robust Conditional Quantile Prediction with Fixed Design
This paper proposes a novel data-driven distributionally robust framework for conditional quantile prediction under the fixed design setting of the covariates, which we refer to as Sinkhorn distributionally robust conditional quantile prediction.
Guohui Jiang, Tiantian Mao
doaj +1 more source
Nonlinear distributionally robust optimization
This article focuses on a class of distributionally robust optimization (DRO) problems where, unlike the growing body of the literature, the objective function is potentially nonlinear in the distribution. Existing methods to optimize nonlinear functions in probability space use the Frechet derivatives, which present theoretical and computational ...
Mohammed Rayyan Sheriff +1 more
openaire +3 more sources
Nowadays, the high penetration of renewable energy, with variable and unpredictable nature, poses major challenges to operation and planning studies of power systems.
Jian Le +3 more
doaj +1 more source
Data-driven Distributionally Adjustable Robust Chance-constrained DG Capacity Assessment
Moving away from fossil fuels towards renewable sources requires system operators to determine the capacity of distribution systems to safely accommodate green and distributed generation (DG).
Masoume Mahmoodi +4 more
doaj +1 more source
Distributionally Robust Low-Carbon Scheduling Model for Virtual Power Plants Considering Emerging Distributed Resources and Electricity Carbon Trading [PDF]
[Objective] To improve the low-carbon economic performance of scheduling strategies for virtual power plants, this study proposes a distributionally robust low-carbon scheduling model that incorporates emerging distributed resources and electricity ...
WANG Jiayi, HE Shuaijia
doaj +1 more source
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo +11 more
wiley +1 more source
Front distribution centers are extensively employed in E-commerce distribution networks to shorten the delivery time, thereby stimulating customers’ purchase intentions and enhancing customer loyalty. When a customer places an order, the designated front
Haodong Feng
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A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source

