ListarLSI_Articles por tema "On-line classification"
Mostrando ítems 1-3 de 3
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Exploring early classification strategies of streaming data with delayed attributes
Springer Verlag (Germany) (2009)In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data samples arrive in a sequence and many hard ... -
On-line classification of data streams with missing values based on reinforcement learning
Springer (2011)In some applications, data arrive sequentially and they are not available in batch form, what makes difficult the use of traditional classification systems. In addition, some attributes may lack due to some real-world ... -
On-line learning from streaming data with delayed attributes: A comparison of classifiers and strategies
Springer (2011-10)In many real applications, data are not all available at the same time, or it is not affordable to process them all in a batch process, but rather, instances arrive sequentially in a stream. The scenario of streaming data ...