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Showing 1 to 2 of 2 for “"Multi-Strategy Learning"”.
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Time Series Learning With Probabilistic Network Composites
… reasoning over time through integrated, multi-strategy learning. Its focus is on decomposable, concept learning problems for classification of spatiotemporal sequences. Systematic methods of task decomposition using attribute- driven methods, especially attribute partitioning, are …
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A Reservoir of Adaptive Algorithms for Online Learning from Evolving Data Streams
… at stake, if no reaction is adopted. Therefore, learning systems need to apply intelligent algorithms to monitor evolvement in their environments and update themselves effectively. Further, we may experience fluctuations regarding the performance of learning algorithms due to the nature of …