The Jacobian Matrix-Based Learning Machine in Student

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Article 01 Jan 2017Publisher:Springer International Publishing

Authors: Yi-Zeng Hsieh; Mu-Chun Su; Yu-Lin Jeng;

doi: 10.1007/978-3-319-71084-6_55

The Jacobian Matrix-Based Learning Machine in Student

- Summary
- Metrics

Abstract

The student learning performance is analyzed that we adopted the proposed Jacobian Matrix-based Learning Machine (JMLM). It is significant for establishing prediction machine learning model for student learning performance and these tool can help teacher to analyze the student data not difficult to analyze. Correct rate of our model is 87% and 86% better than traditional machine learning models.

Related Organizations

National Taiwan University of Arts
Taiwan
National Central University
Taiwan
Southern Taiwan University of Science and Technology
Taiwan

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average