【文件属性】：
文件名称：A Review of Relational Machine Learning for Knowledge Graphs
文件大小：1.53MB
文件格式：PDF
更新时间：2021-09-24 11:27:13
知识图谱 大数据
TITLE:
A Review of Relational Machine Learning for Knowledge Graphs
AUTHORS:
Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich
PROFILES:
Kevin Murphy
is a research scientist at Google in
Mountain View, California, where he works on AI,
machine learning, computer vision, knowledge base
construction and natural language processing. Before
joining Google in 2011, he was an associate professor
of computer science and statistics at the University
of British Columbia in Vancouver, Canada. Before
starting at UBC in 2004, he was a postdoc at MIT.
Kevin got his BA from U. Cambridge, his MEng from
U. Pennsylvania, and his PhD from UC Berkeley.
Volker Tresp
received a Diploma degree from the
University of Goettingen, Germany, in 1984 and
the M.Sc. and Ph.D. degrees from Yale University,
New Haven, CT, in 1986 and 1989 respectively.
Since 1989 he is the head of various research
teams in machine learning at Siemens, Research and
Technology. He filed more than 70 patent applications
and was inventor of the year of Siemens in 1996.
He has published more than 100 scientific articles
and administered over 20 Ph.D. theses.