Kernel-based framework for spectral dimensionality reduction and clustering formulation: A theoretical study

XP Blanco Valencia, MA Becerra, AE Castro Ospina… - 2017 - gredos.usal.es
This work outlines a unified formulation to represent spectral approaches for both
dimensionality reduction and clustering. Proposed formulation starts with a generic latent …

Bridging the gap between human knowledge and machine learning

JC Alvarado-Pérez, DH Peluffo-Ordónez… - 2015 - gredos.usal.es
Nowadays, great amount of data is being created by several sources from academic,
scientific, business and industrial activities. Such data intrinsically contains meaningful …

On the relationship between dimensionality reduction and spectral clustering from a kernel viewpoint

DH Peluffo-Ordóñez, MA Becerra… - … Computing and Artificial …, 2016 - Springer
This paper presents the development of a unified view of spectral clustering and
unsupervised dimensionality reduction approaches within a generalized kernel framework …

[PDF][PDF] Visualización y métodos kernel: Integrando inteligencia natural y artificial

JC Alvarado-Pérez, DH Peluffo-Ordóñez… - … Politécnica Estatal del … - diegopeluffo.com
Los enormes volúmenes de datos, generados por la actividad académica, científica,
empresarial e industrial, entre muchas más, contienen información muy valiosa, lo que hace …

[PDF][PDF] Sentencia del Tribunal Supremo 719/2016 (Sala de lo Civil, Sección 1. ª), de 1 de diciembre [ROJ: STS 5289/2016]

IM Menéndez - AIS: Ars Iuris Salmanticensis, 2017 - revistas.usal.es
La STS de 1 de diciembre de 2016 (ROJ: STS 5289/2016–ECLI: ES: TS: 2016: 5289) en
materia de calificación concursal incide, entre otros extremos, sobre tres aspectos. A saber …

[CITAZIONE][C] Neuro-symbolic reasoning system for modelling complex behaviours

N Balse, J Carter