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Cost-Sensitive Best Subset Selection for Logistic Regression: A
  Mixed-Integer Conic Optimization Perspective

Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective

9 October 2023
Ricardo Knauer
Erik Rodner
ArXivPDFHTML

Papers citing "Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective"

4 / 4 papers shown
Title
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot
  Decision Tree Induction and Embedding with Large Language Models
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models
Ricardo Knauer
Mario Koddenbrock
Raphael Wallsberger
Nicholas M. Brisson
Georg N. Duda
Deborah Falla
David W. Evans
Erik Rodner
44
0
0
27 Sep 2024
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce
  Applications
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications
Ricardo Knauer
Marvin Grimm
Erik Rodner
LMTD
43
2
0
03 Sep 2024
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep
  Learning for Data-Scarce Classification Applications
Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications
Ricardo Knauer
Erik Rodner
LMTD
32
3
0
13 May 2024
Feature subset selection for kernel SVM classification via mixed-integer
  optimization
Feature subset selection for kernel SVM classification via mixed-integer optimization
Ryuta Tamura
Yuichi Takano
Ryuhei Miyashiro
26
2
0
28 May 2022
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