Results 241 to 250 of about 109,032 (273)
Some of the next articles are maybe not open access.
Kernel Measures of Independence for Non-IID Data
2009Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this criterion to deal with structured and interdependent observations. This is achieved by modeling the structures using undirected graphical models and comparing the Hilbert space
Zhang, X. +3 more
openaire +1 more source
Discrepancy-Aware Federated Learning for Non-IID Data
2023 IEEE Wireless Communications and Networking Conference (WCNC), 2023Jianhua Shen, Siguang Chen
openaire +1 more source
An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
exaly
Innovations in research and clinical care using patient‐generated health data
Ca-A Cancer Journal for Clinicians, 2020H S L Jim +2 more
exaly
Distribution-Regularized Federated Learning on Non-IID Data
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023Yansheng Wang +6 more
openaire +1 more source