Mitigating performance saturation in neural marked point processes : architectures and loss functions

Mitigating performance saturation in neural marked point processes : architectures and loss functions

Attributed event sequences are commonly encountered in practice. A recent research line focuses on incorporating neural networks with the statistical model -- marked point processes, which is the conventional tool for dealing with attributed event sequences. Neural marked point processes possess...

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Bibliographic Details
Main Authors: Li, Tianbo, Luo, Tianze, Ke, Yiping, Pan, Sinno Jialin
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Neural Point Processes
Hawkes Processes
Event Sequential Analysis
Online Access:https://hdl.handle.net/10356/152799

Internet

https://hdl.handle.net/10356/152799

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