Logistic Regression as Soft Perceptron Learning

TL;DR

This paper explores the relationship between logistic regression and perceptron learning, highlighting how logistic learning can be viewed as a soft version of the perceptron algorithm, connecting two fundamental classification methods.

Contribution

It clarifies the theoretical connection between gradient ascent in logistic regression and perceptron learning, framing logistic regression as a soft perceptron.

Findings

Logistic regression is a soft variant of perceptron learning.

Gradient ascent for logistic regression relates to perceptron updates.

Provides insight into the theoretical link between two classification algorithms.

Abstract

We comment on the fact that gradient ascent for logistic regression has a connection with the perceptron learning algorithm. Logistic learning is the "soft" variant of perceptron learning.