Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations

Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations

Multiple kernel learning is a paradigm which employs a properly constructed chain of kernel functions able to simultaneously analyse different data or different representations of the same data. In this paper, we propose an hybrid classification system based on a linear combination of multiple kerne...

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Bibliographic Details
Main Authors: Alessio Martino, Enrico De Santis, Alessandro Giuliani, Antonello Rizzi
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Entropy
Subjects:
dissimilarity spaces
support vector machines
kernel methods
computational biology
systems biology
protein contact networks
Online Access:https://www.mdpi.com/1099-4300/22/7/794

Internet

https://www.mdpi.com/1099-4300/22/7/794

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