[HTML][HTML] Amanda: Semi-supervised density-based adaptive model for non-stationary data with extreme verification latency
Abstract Concept drift refers to an alteration in the relations between input and output data in
the distribution over time. Thus, a gradual concept drift alludes to a smooth and gradual …
the distribution over time. Thus, a gradual concept drift alludes to a smooth and gradual …
Density-based core support extraction for non-stationary environments with extreme verification latency
RS Ferreira, BMA da Silva, W Teixeira… - 2018 7th Brazilian …, 2018 - ieeexplore.ieee.org
Machine learning solutions usually consider that the train and test data has the same
probabilistic distribution, that is, the data is stationary. However, in streaming scenarios, data …
probabilistic distribution, that is, the data is stationary. However, in streaming scenarios, data …