Buscar
Mostrando ítems 1-10 de 1051
Land-cover classification through sequential learning-based optimum-path forest
(2015-11-10)
Sequential learning-based pattern classification aims at providing more accurate labeled maps by adding an extra step of classification using an augmented feature vector. In this paper, we evaluated the robustness of ...
LAND-COVER CLASSIFICATION THROUGH SEQUENTIAL LEARNING-BASED OPTIMUM-PATH FOREST
(Ieee, 2015-01-01)
Sequential learning-based pattern classification aims at providing more accurate labeled maps by adding an extra step of classification using an augmented feature vector. In this paper, we evaluated the robustness of ...
Effects of bandwidth knowledge of results by components in learning a sequential motor task
(Universidade Federal de Minas GeraisBrasilEEF - DEPARTAMENTO DE ESPORTESUFMG, 2019-07)
An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification
(Ieee-inst Electrical Electronics Engineers Inc, 2017-04-01)
Contextual-based image classification attempts at considering spatial/temporal information during the learning process in order to make the classification process smarter. Sequential learning techniques are one of the most ...
A new approach to contextual learning using interval arithmetic and its applications for land-use classification
(Elsevier B.V., 2016-11-01)
Contextual-based classification has been paramount in the last years, since spatial and temporal information play an important role during the process of learning the behavior of the data. Sequential learning is also often ...
Attentive Flexible Translation Embedding in Top-N Sparse Sequential Recommendations
Sequential recommendation aims to predict the user’s next action based on personal action sequences. The major challenge in this task is how to achieve high performance recommendation under the data sparsity problem. ...
Um método de aprendizagem seqüencial com filtro de Kalman e Extreme Learning Machine para problemas de regressão e previsão de séries temporais
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2016)
An Object-Oriented Approach for Learning of Algorithm Design with Sequential Devices and Schemas
(Computación y Sistemas, 2009)
T-fold sequential-validation technique for out-of-distribution generalization with financial time series data
(International Conference on Econometrics and Statistics, 2021-06)
T-fold sequential-validation technique for out-of-distribution generalization with financial time series data
(International Conference on Econometrics and Statistics, 2021-06)