Ordinal Regression by a Generalized Force-Based Model

Áreas de investigación:

• Methodology - Machine learning

Año:

2015

Tipo de publicación:

Artículo

Autores:

• Fernandez-Navarro, Francisco
• Riccardi, Annalisa
• Carloni, Sante

Journal:

IEEE Transaction on Cybernetics

Volumen:

45

Número:

4

Páginas:

844-857

BibTex:

@article{122015, author = "Francisco Fernandez-Navarro and Annalisa Riccardi and Sante Carloni", awards = "JCR(2015): 4.943 Position: 6/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", comments = "JCR(2015): 4.943 Position: 6/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", doi = "10.1109/TCYB.2014.2337113 ", journal = "IEEE Transaction on Cybernetics", note = "JCR(2015): 4.943 Position: 6/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", number = "4", pages = "844-857 ", title = "{O}rdinal {R}egression by a {G}eneralized {F}orce-{B}ased {M}odel", url = "http://dx.doi.org/10.1109/TCYB.2014.2337113", volume = "45", year = "2015", }

Nota:

JCR(2015): 4.943 Position: 6/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Comentarios:

JCR(2015): 4.943 Position: 6/130 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE