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cs.LG2026
Recurrent Neural Networks Beyond Time: Learning from Multiple Ordered Projections
Vagan Terziyan, Artur Terziian, Oleksandra Vitko
Recurrent neural networks (RNNs) are widely used for sequence learning, yet their application is commonly associated with temporal data, although recurrent computation fundamentall…
cs.LG2019★ 1 cited
Ignorance-Aware Approaches and Algorithms for Prototype Selection in Machine Learning
Vagan Terziyan, Anton Nikulin
Operating with ignorance is an important concern of the Machine Learning research, especially when the objective is to discover knowledge from the imperfect data. Data mining (driv…