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Towards Efficient and Scalable Acceleration of Online Decision Tree
  Learning on FPGA

Towards Efficient and Scalable Acceleration of Online Decision Tree Learning on FPGA

IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM), 2019
3 September 2020
Zhe Lin
Sharad Sinha
Wei Zhang
ArXiv (abs)PDFHTML

Papers citing "Towards Efficient and Scalable Acceleration of Online Decision Tree Learning on FPGA"

2 / 2 papers shown
A Flexible HLS Hoeffding Tree Implementation for Runtime Learning on
  FPGA
A Flexible HLS Hoeffding Tree Implementation for Runtime Learning on FPGA
Luís Sousa
N. Paulino
J. Ferreira
João Bispo
64
6
0
03 Dec 2021
Nanosecond machine learning event classification with boosted decision
  trees in FPGA for high energy physics
Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physicsJournal of Instrumentation (JINST), 2021
Tae Min Hong
B. Carlson
Brandon Eubanks
Stephen Racz
Stephen Roche
J. Stelzer
Daniel C. Stumpp
263
30
0
07 Apr 2021
1
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