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Similarity encoding for learning with dirty categorical variables

Similarity encoding for learning with dirty categorical variables

4 June 2018
Patricio Cerda
Gaël Varoquaux
Balázs Kégl
    CML
ArXivPDFHTML

Papers citing "Similarity encoding for learning with dirty categorical variables"

5 / 5 papers shown
Title
FedECA: A Federated External Control Arm Method for Causal Inference
  with Time-To-Event Data in Distributed Settings
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings
Jean Ogier du Terrail
Quentin Klopfenstein
Honghao Li
Imke Mayer
Nicolas Loiseau
Mohammad Hallal
Félix Balazard
M. Andreux
18
2
0
28 Nov 2023
Machine Learning with High-Cardinality Categorical Features in Actuarial
  Applications
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications
Benjamin Avanzi
G. Taylor
Melantha Wang
Bernard Wong
22
12
0
30 Jan 2023
Progressive Feature Upgrade in Semi-supervised Learning on Tabular
  Domain
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain
Morteza Mohammady Gharasuie
Fenjiao Wang
38
0
0
01 Dec 2022
Regularized target encoding outperforms traditional methods in
  supervised machine learning with high cardinality features
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
F. Pargent
Florian Pfisterer
Janek Thomas
B. Bischl
16
81
0
01 Apr 2021
A Hybrid Intrusion Detection with Decision Tree for Feature Selection
A Hybrid Intrusion Detection with Decision Tree for Feature Selection
Mubarak Albarka Umar
Zhanfang Chen
Yan Liu
11
10
0
24 Sep 2020
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