EVENTO
On the Interplay of Machine Learning and Complex Networks
Tipo de evento: Seminário de Avaliação - Série A
Network Science (NS) and Machine Learning (ML) are two knowledge areas that have experienced an exponential growth in recent years, both in the academia and in the industry. Both areas deal with broad problems that can be found in different domains, making them a valuable tool for solving such problems. A particular case is how these two research areas interact with each other and what benefits this interaction presents. This project aims to study how NS can be used both as a tool for improving and as an application of ML methods. Specifically, we deal with two problems: (i) how to improve Reinforcement Learning methods using NS, and (ii) how to improve NS methods using Neural Networks and Reinforcement Learning.
Data Início: 01/11/2019 Hora: 14:00 Data Fim: 01/11/2019 Hora: 17:00
Local: LNCC - Laboratório Nacional de Computação Ciêntifica - Auditorio A
Aluno: Matheus R. F. de Mendonça - LNCC -
Orientador: André da Motta Salles Barreto - GOOGLE - Artur Ziviani - Laboratório Nacional de Computação Científica - LNCC
Participante Banca Examinadora: Alex Borges Vieira - Universidade Federal de Juiz de Fora - UFJF Artur Ziviani - Laboratório Nacional de Computação Científica - LNCC Luiz Manoel Rocha Gadelha Júnior - German Cancer Research Center - DKFZ
Suplente Banca Examinadora: Antônio Tadeu Azevedo Gomes - Laboratório Nacional de Computação Científica - LNCC
