ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.04728
  4. Cited By
Discovering Categorical Main and Interaction Effects Based on
  Association Rule Mining

Discovering Categorical Main and Interaction Effects Based on Association Rule Mining

10 April 2021
Qiuqiang Lin
Chuanhou Gao
ArXivPDFHTML

Papers citing "Discovering Categorical Main and Interaction Effects Based on Association Rule Mining"

6 / 6 papers shown
Title
Reluctant Interaction Modeling
Reluctant Interaction Modeling
Guo Yu
Jacob Bien
Robert Tibshirani
48
21
0
19 Jul 2019
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise
  Interactions in High Dimensions
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
Raj Agrawal
Jonathan H. Huggins
Brian L. Trippe
Tamara Broderick
99
26
0
16 May 2019
The xyz algorithm for fast interaction search in high-dimensional data
The xyz algorithm for fast interaction search in high-dimensional data
Gian-Andrea Thanei
N. Meinshausen
Rajen Dinesh Shah
44
25
0
17 Oct 2016
Model Selection for High Dimensional Quadratic Regression via
  Regularization
Model Selection for High Dimensional Quadratic Regression via Regularization
Ning Hao
Yang Feng
Hao Helen Zhang
67
105
0
31 Dec 2014
Random Intersection Trees
Random Intersection Trees
Rajen Dinesh Shah
N. Meinshausen
72
44
0
25 Mar 2013
A lasso for hierarchical interactions
A lasso for hierarchical interactions
Jacob Bien
Jonathan E. Taylor
Robert Tibshirani
187
485
0
22 May 2012
1