About: On the Perceptron’s Compression

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: On the Perceptron’s Compression Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	On the Perceptron’s Compression
Creator	Moran, Shay Nachum, Ido Panasoff, Itai Yehudayoff, Amir
source	PMC
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.
has issue date	2020-06-24(xsd:dateTime)
bibo:doi	10.1007/978-3-030-51466-2_29
has license	no-cc
sha1sum (hex)	0327194addb0273c471ef5f64aa4f7b87befd314
schema:url	https://doi.org/10.1007/978-3-030-51466-2_29
resource representing a document's title	On the Perceptron’s Compression
has PubMed Central identifier	PMC7309506
schema:publication	Beyond the Horizon of Computability
resource representing a document's body	covid:0327194addb0273c471ef5f64aa4f7b87befd314#body_text
is schema:about of	named entity 'EXPOSITION' named entity 'NEURAL NETWORKS' named entity 'DOES NOT' named entity 'PRIOR' named entity 'USEFUL' named entity 'VERY SMALL' named entity 'CASE' named entity 'THEME' named entity 'INCREASE' named entity 'THESE' named entity 'RELATED' named entity 'SOLUTION' named entity 'perceptron' named entity 'Algorithm' named entity 'hyperplane' named entity 'vector' named entity 'prior knowledge' named entity 'neurons' named entity 'vector' named entity 'running time' named entity 'hyperplane' named entity 'unit sphere' named entity 'perceptron algorithm' named entity 'Algorithm' named entity 'neuron' named entity 'non-negative' named entity 'Algorithm' named entity 'linearly separated' named entity 'rescale' named entity 'perceptron' named entity 'hyperplane' named entity 'perceptron' named entity 'MLP' named entity 'perceptron' named entity 'change over time' named entity 'gradient descent' named entity 'subset' named entity 'mixed strategy' named entity 'linearly separable' named entity 'perceptron algorithm' named entity 'neural network' named entity 'learning process' named entity 'n + 1' named entity 'algorithm' named entity 'perceptron algorithm' named entity 'lemma' named entity 'perceptron' named entity 'loss function' named entity 'neurons' named entity 'learning process' named entity 'sign function' named entity 'partition of the set' named entity 'lower bound' named entity 'Farkas' lemma' named entity 'passive-aggressive' named entity 'algorithm' named entity '1, 2' named entity 'convex hull' named entity 'SVMs' named entity '1, 2' named entity 'neural network' named entity 'running time' named entity 'neural networks' named entity 'perceptron' named entity 'linearly separable' named entity 'ReLu' named entity 'lower bound' named entity 'learning process' named entity 'pure strategies' named entity 'Algorithm' named entity 'neuron' named entity 'finite set' named entity 'probability' named entity 'Algorithm' named entity 'perceptron' named entity 'algorithm' named entity 'perceptron' named entity 'perceptron' named entity 'Roughly speaking' named entity 'grows linearly'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software