Navegação Computação por Assunto "Gaussian mixture models"
Resultados 1-4 de 4
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An incremental gaussian mixture network for data stream classification in non-stationary environments
(2018) [Dissertação]Data stream classification poses many challenges for the data mining community when the environment is non-stationary. The greatest challenge in learning classifiers from data stream relates to adaptation to the concept ... -
A connectionist approach for incremental function approximation and on-line tasks
(2011) [Tese]Este trabalho propõe uma nova abordagem conexionista, chamada de IGMN (do inglês Incremental Gaussian Mixture Network), para aproximação incremental de funções e tarefas de tempo real. Ela é inspirada em recentes teorias ... -
Continuous reinforcement learning with incremental Gaussian mixture models
(2017) [Tese]This thesis’ original contribution is a novel algorithm which integrates a data-efficient function approximator with reinforcement learning in continuous state spaces. The complete research includes the development of a ... -
Probabilistic incremental learning for image recognition : modelling the density of high-dimensional data
(2014) [Dissertação]Nowadays several sensory systems provide data in ows and these measured observations are frequently high-dimensional, i.e., the number of measured variables is large, and the observations are arriving in a sequence. This ...