163 citations · 382 across the 15 of their papers we have counts for
3 papers · 1 filter
A new network-base high-level data classification methodology (Quipus) by modeling attribute-attribute interactions
Esteban Wilfredo Vilca Zuñiga, Liang Zhao
High-level classification algorithms focus on the interactions between instances. These produce a new form to evaluate and classify data. In this process, the core is a complex net…
A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality
Esteban Vilca, Liang Zhao
Data classification is a major machine learning paradigm, which has been widely applied to solve a large number of real-world problems. Traditional data classification techniques c…
Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise
Fabricio Aparecido Breve, Liang Zhao, Marcos Gonçalves Quiles
Semi-supervised learning methods are usually employed in the classification of data sets where only a small subset of the data items is labeled. In these scenarios, label noise is…