Results 51 to 60 of about 549,366 (277)
Ladder Curriculum Learning for Domain Generalization in Cross-Domain Classification
Domain generalization seeks to acquire a domain-invariant representation from various source domains, thereby enabling a model to achieve robust generalization across previously unseen target domains. Most existing domain generalization methods for cross-
Xiaoshun Wang, Sibei Luo, Yiming Gao
doaj +1 more source
Statistical Mechanics of Time Domain Ensemble Learning
Conventional ensemble learning combines students in the space domain. On the other hand, in this paper we combine students in the time domain and call it time domain ensemble learning.
Freund Y. +12 more
core +1 more source
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski +9 more
wiley +1 more source
FSN: Feature Shift Network for Load-Domain (LD) Domain Generalization
Conventional deep learning methods for fault detection often assume that the training and the testing sets share the same fault domain spaces. However, some fault patterns are rare, and many real-world faults have not appeared in the training set.
Heng Chen +3 more
doaj +1 more source
Research Progress on Multi-domain Adaptation Problems in Clinical Data Modeling [PDF]
With the deep integration of artificial intelligence and healthcare,clinical data is undergoing a paradigm shift from “aiding decision-making” to “driving decision-making”.Clinical data encompasses both structured and unstructured information such as ...
CHEN Xiu, ZHANG Xinyun, CHENG Yuting, CHEN Wei, HUANG Zhengxing, LIU Zhenyu, ZHANG Yuanpeng
doaj +1 more source
Generalization Bounds for Representative Domain Adaptation [PDF]
In this paper, we propose a novel framework to analyze the theoretical properties of the learning process for a representative type of domain adaptation, which combines data from multiple sources and one target (or briefly called representative domain ...
Fan, Wei +3 more
core
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior +7 more
wiley +1 more source
Towards a strong coupling theory for the KPZ equation
After a brief introduction we review the nonperturbative weak noise approach to the KPZ equation in one dimension. We argue that the strong coupling aspects of the KPZ equation are related to the existence of localized propagating domain walls or ...
Barabasi +26 more
core +1 more source
Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer
ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright +13 more
wiley +1 more source

