High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso

2 February 2012

Papers citing "High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso"

6 / 6 papers shown

Title
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma Christoph Wehner Chrysa Iliopoulou Ute Schmid Tarek R. Besold 48 0 0 03 Jun 2024
Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data Can Chen Scott T. Weiss Yang-Yu Liu 8 17 0 25 Nov 2022
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model Chuanyan Zhou Jie Ma Fan Li Yongming Li Pin Wang Xiaoheng Zhang 13 0 0 25 Oct 2022
LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links Akihito Sudo Teck-Hou Teng Masaki Yamaguchi Yoshinori Tone 10 0 0 27 Aug 2021
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Q. Huang M. Yamada Yuan Tian Dinesh Singh Dawei Yin Yi-Ju Chang FAtt 23 343 0 17 Jan 2020
Large-scale Nonlinear Variable Selection via Kernel Random Features Magda Gregorova Jason Ramapuram Alexandros Kalousis Stéphane Marchand-Maillet 8 5 0 19 Apr 2018