On the Perceptron’s Compression

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

We study and provide exposition to several phenomena that are related to the perceptron’s compression. One theme concerns modifications of the perceptron algorithm that yield better guarantees on the margin of the hyperplane it outputs. These modifications can be useful in training neural networks as well, and we demonstrate them with some experimental data. In a second theme, we deduce conclusions from the perceptron’s compression in various contexts.

Original languageEnglish
Title of host publicationBeyond the Horizon of Computability - 16th Conference on Computability in Europe, CiE 2020, Proceedings
EditorsMarcella Anselmo, Gianluca Della Vedova, Florin Manea, Arno Pauly
Pages310-325
Number of pages16
DOIs
StatePublished - 2020
Event16th Conference on Computability in Europe, CiE 2020 - Fisciano, Italy
Duration: 29 Jun 20203 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12098 LNCS

Conference

Conference16th Conference on Computability in Europe, CiE 2020
Country/TerritoryItaly
CityFisciano
Period29/06/203/07/20

Keywords

  • Compression
  • Convex separation
  • Machine learning

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'On the Perceptron’s Compression'. Together they form a unique fingerprint.

Cite this