Centro Universitario FEI: Recent submissions
Itens para a visualização no momento 1421-1440 of 2258
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Analyzing the connectivity between regions of interest: An approach based on cluster Granger causality for fMRI data analysis
(2010)The identification, modeling, and analysis of interactions between nodes of neural systems in the human brain have become the aim of interest of many studies in neuroscience. The complex neural network structure and its ... -
A multivariate statistical analysis of the developing human brain in preterm infants
(2007)Preterm delivery accounts for 5% of all deliveries and its consequences contribute to significant individual, medical, and social problems. The neuroanatomical substrates of these disorders are not known, but are essential ... -
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
(2015)© 2015 Elsevier B.V.Abstract The goal of this paper is to propose and analyse a transfer learning meta-algorithm that allows the implementation of distinct methods using heuristics to accelerate a Reinforcement Learning ... -
Multivariate gene expression analysis reveals functional connectivity changes between normal/tumoral prostates
(2008)Background: Prostate cancer is a leading cause of death in the male population, therefore, a comprehensive study about the genes and the molecular networks involved in the tumoral prostate process becomes necessary. In ... -
Qualitative Model of Location Relations Learned from Human Data
(2018)© 2003-2012 IEEE.Este trabalho propõe um modelo qualitativo de relações de localização e orientação espacial, no qual as categorias qualitativas são expressões espaciais. O modelo foi construído a partir de dados obtidos ... -
Heuristically Accelerated Reinforcement Learning by Means of Case-Based Reasoning and Transfer Learning
(2018)© 2017, Springer Science+Business Media B.V.Reinforcement Learning (RL) is a well-known technique for learning the solutions of control problems from the interactions of an agent in its domain. However, RL is known to be ... -
Answer set programming for non-stationary Markov decision processes
(2017)© 2017, Springer Science+Business Media New York.Non-stationary domains, where unforeseen changes happen, present a challenge for agents to find an optimal policy for a sequential decision making problem. This work ...