【哈佛数字人文】1.8 Concept Searching: Machine Learning in the Humanities, 视频播放量 61、弹幕量 0、点赞数 1、投硬币枚数 0、收藏人数 3、转发人数 0, 视频作者 宇宙大大笨蛋, 作者简介 ,相关视频:【哈佛数字人文】1.2 What is Digital Humanities?,【哈佛数字人
However, there always exists fuzzy and uncertain information in real life. How to deal with fuzzy data has always been an essential issue in machine learning [31,32,33,34,35]. Thus, studying knowledge reduction in a fuzzy formal context is necessary. In order to avoid distorting the ...
The learning and modeling of fuzzy concepts, in particular, has been a hot topic in these two fields. One prominent work on the cognitive representations of concepts in natural language is the prototype theory [5,6]. Many classic machine learning algorithms are related to the prototype theory,...
Indre Zliobaite in the 2010 paper titled “Learning under Concept Drift: An Overview” provides a framework for thinking about concept drift and the decisions required by the machine learning practitioner, as follows: Future assumption: a designer needs to make an assumption about the future data ...
Machine Learning, 1, 145–176. Google Scholar De Raedt, L. (1991). Interactive concept-learning. Ph.D. thesis, Department of Computer Science, Katholieke Universiteit Leuven. De Raedt, L., & Bruynooghe, M. (1988). On interactive concept-learning and assimilation. In D. Sleeman (Ed.)...
Machine Learning Gerhard Widmer& Miroslav Kubat 5501Accesses 9Altmetric Explore all metrics Abstract On-line learning in domains where the target concept depends on some hidden context poses serious problems. A changing context can induce changes in the target concepts, producing what is known as conc...
The potential contribution of machine learning in this situation has not been fully evaluated. The objective of this study was to develop and evaluate machine learning models using routine clinical and laboratory data to improve the performance of RT-PCR and chest-CT for COVID-19 diagnosis among ...
Privacy-preserving machine learning Federated Learning vs Distributed Machine Learning Federated Learning vs Edge Computing Federated Learning vs Federated Database Systems APPLICATIONS FEDERATED LEARNING AND DATA ALLIANCE OF ENTERPRISES CONCLUSIONS AND PROSPECTS 原文下载链接:点击下载 BACKGROUND 如今人工智能仍然存...
2022.11.26周六 今天学习了联邦学习中又一篇很经典的论文——Federated Machine Learning: Concept and Applications(联邦机器学习:概念和应用) 这篇文章是杨强教授团队于2019年所写的一篇综述。 论文概览 1.摘要 针对数据孤岛以及数据的隐私
Parallel computing techniques for concept-cognitive learning based on granular computing Concept-cognitive learning, as an interdisciplinar Niu,Jiaojiao,Huang,... - 《International Journal of Machine Learning & Cybernetics》 被引量: 5发表: 2018年 Predicting Software Defects in Hybrid MPI and OpenMP Pa...