1 citations · 2 across the 7 of their papers we have counts for
8 papers
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations
Sergio F. Chevtchenko, Yeshwanth Bethi, Teresa B. Ludermir +1
Reinforcement Learning (RL) provides a powerful framework for decision-making in complex environments. However, implementing RL in hardware-efficient and bio-inspired ways remains…
Metodos de Agrupamentos em dois Estagios
Jefferson Souza, Teresa Ludermir
This work investigates the use of two-stage clustering methods. Four techniques were proposed: SOMK, SOMAK, ASCAK and SOINAK. SOMK is composed of a SOM (Self-Organizing Maps) follo…
Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares
Anderson da Silva, Teresa Ludermir
This works proposes a methodology to searching for automatically Artificial Neural Networks (ANN) by using Cellular Genetic Algorithm (CGA). The goal of this methodology is to find…
Um Metodo para Busca Automatica de Redes Neurais Artificiais
Anderson P. da Silva, Teresa B. Ludermir, Leandro M. Almeida
This paper describes a method that automatically searches Artificial Neural Networks using Cellular Genetic Algorithms. The main difference of this method for a common genetic algo…
Uso de GSO cooperativos com decaimentos de pesos para otimizacao de redes neurais
Danielle Silva, Teresa Ludermir
Training of Artificial Neural Networks is a complex task of great importance in supervised learning problems. Evolutionary Algorithms are widely used as global optimization techniq…
Distance Metric Learning through Minimization of the Free Energy
Dusan Stosic, Darko Stosic, Teresa B. Ludermir +1
Distance metric learning has attracted a lot of interest for solving machine learning and pattern recognition problems over the last decades. In this work we present a simple appro…