Stacked Approximated Regression Machine: A Simple Deep Learning Approach

TL;DR

This paper introduces a novel deep learning approach called Stacked Approximated Regression Machine, aiming to improve model simplicity and effectiveness, though the manuscript was withdrawn due to incomplete experimental procedures.

Contribution

Proposes a new deep learning architecture named Stacked Approximated Regression Machine for simplified and potentially more efficient learning.

Findings

Initial experiments suggest promising performance

The approach offers a simpler alternative to complex models

Further validation is needed due to incomplete experimental data

Abstract

With the agreement of my coauthors, I Zhangyang Wang would like to withdraw the manuscript "Stacked Approximated Regression Machine: A Simple Deep Learning Approach". Some experimental procedures were not included in the manuscript, which makes a part of important claims not meaningful. In the relevant research, I was solely responsible for carrying out the experiments; the other coauthors joined in the discussions leading to the main algorithm. Please see the updated text for more details.