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When are Deep Networks really better than Decision Forests at small
  sample sizes, and how?
v1v2v3v4 (latest)

When are Deep Networks really better than Decision Forests at small sample sizes, and how?

31 August 2021
Haoyin Xu
K. A. Kinfu
Will LeVine
Sambit Panda
Jayanta Dey
Michael Ainsworth
Yu-Chung Peng
M. Kusmanov
F. Engert
Christopher M. White
Joshua T. Vogelstein
Carey E. Priebe
ArXiv (abs)PDFHTML

Papers citing "When are Deep Networks really better than Decision Forests at small sample sizes, and how?"

5 / 5 papers shown
Title
Detecting Financial Bots on the Ethereum Blockchain
Detecting Financial Bots on the Ethereum Blockchain
Thomas Niedermayer
Pietro Saggese
Bernhard Haslhofer
108
4
0
03 Jan 2025
On the Trade-off between the Number of Nodes and the Number of Trees in
  a Random Forest
On the Trade-off between the Number of Nodes and the Number of Trees in a Random Forest
Tatsuya Akutsu
A. Melkman
Atsuhiro Takasu
146
0
0
16 Dec 2023
From Empirical Measurements to Augmented Data Rates: A Machine Learning
  Approach for MCS Adaptation in Sidelink Communication
From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication
Asif Abdullah Rokoni
Daniel Schäufele
Lars Schmidt-Thieme
Sławomir Stańczak
23
1
0
29 Sep 2023
Interpretable by Design: Learning Predictors by Composing Interpretable
  Queries
Interpretable by Design: Learning Predictors by Composing Interpretable Queries
Aditya Chattopadhyay
Stewart Slocum
B. Haeffele
René Vidal
D. Geman
113
24
0
03 Jul 2022
Deep Discriminative to Kernel Density Graph for In- and
  Out-of-distribution Calibrated Inference
Deep Discriminative to Kernel Density Graph for In- and Out-of-distribution Calibrated Inference
Jayanta Dey
Haoyin Xu
Will LeVine
Ashwin De Silva
Tyler M. Tomita
Ali Geisa
Tiffany Chu
Jacob Desman
Joshua T. Vogelstein
UQCV
36
0
0
31 Jan 2022
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