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4 papers
Ensemble of Binary Classifiers Combined Using Recurrent Correlation Associative Memories
Rodolfo Anibal Lobo, Marcos Eduardo Valle
An ensemble method should cleverly combine a group of base classifiers to yield an improved classifier. The majority vote is an example of a methodology used to combine classifiers…
Hypercomplex-Valued Recurrent Correlation Neural Networks
Marcos Eduardo Valle, Rodolfo Anibal Lobo
Recurrent correlation neural networks (RCNNs), introduced by Chiueh and Goodman as an improved version of the bipolar correlation-based Hopfield neural network, can be used to impl…
Quaternion-Valued Recurrent Projection Neural Networks on Unit Quaternions
Marcos Eduardo Valle, Rodolfo Anibal Lobo
Hypercomplex-valued neural networks, including quaternion-valued neural networks, can treat multi-dimensional data as a single entity. In this paper, we present the quaternion-valu…
An Introduction to Quaternion-Valued Recurrent Projection Neural Networks
Marcos Eduardo Valle, Rodolfo Anibal Lobo
Hypercomplex-valued neural networks, including quaternion-valued neural networks, can treat multi-dimensional data as a single entity. In this paper, we introduce the quaternion-va…