Work

Comparison of SVM Optimization Techniques in the Primal

Year: 2014

Type: preprint

Abstract: This paper examines the efficacy of different optimization techniques in a primal formulation of a support vector machine (SVM). Three main techniques are compared. The dataset used to compare all three techniques was the Sentiment Analysis on Movie Reviews dataset, from kaggle.com.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1406.7429

Authors: Katzman, Jonathan, Duros, Diane

Language: English

Topic: Stochastic Gradient Optimization Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1515526923

Cites: 5

Cited by:

Related to: 10