MatCoupLy: Learning coupled matrix factorizations with Python
Author:
Funder
Norges Miljø- og Biovitenskapelige Universitet
Publisher
Elsevier BV
Subject
Computer Science Applications,Software
Reference23 articles.
1. PARAFAC2: Mathematical and technical notes;Harshman;UCLA Work Pap Phonetics,1972
2. PARAFAC2—Part, I. A direct fitting algorithm for the PARAFAC2 model;Kiers;J Chemom,1999
3. Uniqueness proof for a family of models sharing features of Tucker’s three-mode factor analysis and PARAFAC/CANDECOMP;Harshman;Psychometrika,1996
4. COPA: Constrained PARAFAC2 for sparse & large datasets;Afshar,2018
5. Quantifying functional connectivity in multi-subject fMRI data using component models;Madsen;Hum Brain Mapp,2017
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. SA-MEAS: Sympy-based automated mathematical equations analysis and solver;SoftwareX;2024-02
2. A Time-Aware Tensor Decomposition for Tracking Evolving Patterns;2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP);2023-09-17
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"全球学者库"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前全球学者库共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2023 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3