Back to basics to open the black box

Author(s)

Marcondes, Diego ; Simonis, Adilson ; Barrera, Junior

• Document type: Journal article
• Source: NATURE MACHINE INTELLIGENCE; v. 6, n. 5, p. 4-pg., 2024-05-17.

Abstract

Most research efforts in machine learning focus on performance and are detached from an explanation of the behaviour of the model. We call for going back to basics of machine learning methods, with more focus on the development of a basic understanding grounded in statistical theory. (AU)

• FAPESP's process: 22/06211-2 - Machine learning via learning spaces, from theory to practice: how the lack of data may be mitigated by high computational power
• Grantee: Diego Ribeiro Marcondes
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 23/00256-7 - Prior information in neural networks
• Grantee: Diego Ribeiro Marcondes
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• FAPESP's process: 20/06950-4 - Center for Research and Development on Live Knowledge
• Grantee: João Eduardo Ferreira
• Support Opportunities: Research Grants - Problem-Oriented Research Centers in São Paulo
• FAPESP's process: 14/50937-1 - INCT 2014: on the Internet of the Future
• Grantee: Fabio Kon
• Support Opportunities: Research Projects - Thematic Grants