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ur-CAIM: Improved CAIM Discretization for Unbalanced and Balanced Data
(2015-10-15)
Supervised discretization is one of basic data preprocessing
techniques used in data mining. CAIM (Class-
Attribute InterdependenceMaximization) is a discretization
algorithm of data for which the classes are known. ...
Scalable CAIM Discretization on Multiple GPUs Using Concurrent Kernels
(2017)
CAIM(Class-Attribute InterdependenceMaximization) is one of the stateof-
the-art algorithms for discretizing data for which classes are known. However, it
may take a long time when run on high-dimensional large-scale ...
Improving spiking neural network performance with auxiliary learning
(MDPI, 2023)
The use of back propagation through the time learning rule enabled the supervised training of deep spiking neural networks to process temporal neuromorphic data. However, their performance is still below non-spiking neural ...